change.txt

Change Log

Date Format: year/month/day

---------------------------------------------
Date    : 2013
Version : Alpha 0.16

- Simplified DescribeRegionPoint
  * describe now returns true or false
  * removed isInBounds()
  * removed getDescriptionLength() since it is contained in the description itself
  * added getImageType()
- Feature detection and describing related classes now extend ImageBase to allow support of color image processing
- SURF
  * Laplacian sign calculation doesn't declare new memory for every single feature any more
  * Added a color SURF descriptor
- Fixed SIFT bug which produced a feature with NaN in its descriptor
  * The extractor border was not being taken in account when examining features.  The net result was that the
  localization interpolation would messed up since the center would not be a maximum, causing really bad stuff.
  * Unit tests updated so that it they can detect it.
  * Thanks Lefteris for detecting this bug.
- SURF detector (Fast-Hessian)
  * Was affected in a similar fashion to the SIFT bug.  The fix doesn't seem to change its stability at all.
- NCC error now more "correct" and divides by the number of elements
- Integral image operations now support more image types.  S64 and F64
- KltTracker.setDescription() can now fail due to lack of texture
- Created TrackObjectQuad for tracking user select objects inside an image
  * Added TLD tracker
  * Added Sparse Flow Object Tracker
  * Added various mean-shift trackers
- Created recognition package
  * No other good place to put object trackers
- UtilImageIO
  * Can read PPM from InputStream
  * Can read images from URL
- Moved FastQueue and GrowQueue into DDogleg project so that other projects can use those data structures
- Modified ConvertBufferedImage functions with orderRgb to make it easier to maintain RGB ordering.
  * No need to explicitly call orderBandsIntoRGB() any more
- Change behavior of ConvertRaster so that it does not modify the order of color bands at all
  * Improved unit tests
- Added Fast Fourier Transform
  * Code originally from General Purpose FFT by Takuya Ooura, actual Java code copied from JTransforms
    with minor modifications.
- PixelMath
  * pixel-wise image-to-image multiplication
  * pixel-wise image-to-image division
  * pixel-wise log(1+x)
- ImageMiscOps
  * added copy() for rectangular sub-images
  * limited support for Interleaved images
- ThresholdImageOps
  * Added adaptiveSquare
  * Added adaptiveGaussian
- Convolution and ImageBlurOps
  * Improved accuracy of operations on integer images.  Rounded instead of floored.
- Removed GeoModelRefine and replaced with ModelFitter
- Image Types
  * Improved and renamed interleaved image types
  * Added full support to all primitive data structures in interleaved images
  * Added ImageBase.subimage class variable
  * Added InterleavedImageOps
  * Added ImageMultiBand as a base class for multi-band images.
- Generalized interpolation so that support can be provided for single-band and multi-band images.
  * InterpolatePixelS for single-band
  * InterpolatePixelMB for multi-band
- Fixed sub-image support for ConvertBufferedImage.extract*
  * Thanks pcmoen
- Calibration target detection
  * Locally adaptive thresholding is now used for square and chessboard target types.  Less sensitive to lighting
    conditions
  * Chessboard target detector works much better on small targets.  Uses corners to estimate initial calibration
    point position then uses mean-shift to refine
- ImplConvertBitmap incorrectly converted floating point images
  * Was doing an integer divide instead of a floating point divide
  * Thanks Vagoster for reporting the bug

- TODO Chessboard calibration doesn't reject bad calibration points after sub-pixel
- TODO improve KLT edge handling
- TODO automate high level tests
   * Move SURFPerformance into ValidationBoof
   * Create logs for BoofCV performance
- TODO Mean-Shift common histogram model code for both code bases

---------------------------------------------
Date    : 2013/06/21
Version : Alpha 0.15

- Improved automatic thresholding for calibration grids
- Fixed bug in Zhang99 calibration where skew was not being copied
- Fixed stereo calibration bug where if a target was not detected in right image it wouldn't be removed from the left
- Chessboard calibration
  * Support for targets which are not symmetric. Requested by Karim Hammoudi.
  * Much more tolerant of target which are visually small
  * Handles cluttered backgrounds better
- Added support for OpenKinect in integration
  * Added related example code and applications demonstrating how to process its data
- Can read/write PPM images
- Added DepthVisualOdometry for computing visual odometry from a Kinect
  * Added several related classes and interfaces too
- Added MonocularPlaneVisualOdometry for computing 2D motion from a camera when traveling over a plane
  * Two algorithms implement this interface
- Generalized VisualOdometry interface to allow for arbitrary transforms
- Cleaned up VisualOdometry and StereoVisualOdometry interfaces
- Automatic rescaling of images for visual odometry
  * StereoVisualOdometryScaleInput
  * MonocularPlaneVisualOdometryScaleInput
- Added VisualDepthParameters to specify calibration of RGB-D cameras
- Added MonoPlaneParameters to specify calibration of single camera with a known ground plane
- Added DistanceHomographyPixelSq so that the fit error for normalized homography can be computed in image pixels.
- Added MultiViewOps.decomposeHomography().
- Added more support for convert to/from 16bit BufferedImages
- Added DoNothingPixelTransform_F32 for those times when you don't want to do anything
- Added PairLineNorm for sets of line correspondences between two lines
- Added algorithms for computing induced homographies from planes
  * Three points
  * Line and a point
  * Two lines
- Added NearestNeighborPixel_U16
- Added index setters and getters to GImageSingleBand
- CreateSyntheticOverheadView for converting an image into an overhead view when the scene is planar
- Added numBands to ImageDataType
- Fixed type-o in triangulation JavaDoc.  Thanks tverbele
- Fixed bug in SIFT where a change in non-maximum behavior caused features to be detected too close to image border.
  * Thanks lefman for pointing it out
- Fixed ConvertBufferedImage.orderBandsIntoRGB() for ABGR images.  Thanks André Ambrósio Boechat
- Maven build working again.  Thanks JensKapitza for the help.
- Moved boofcv/applet into boofcv/integration/applet

---------------------------------------------
Date    : 2013/04/15
Version : Alpha 0.14

- Added histogram to ImageStatistics
- Calibration target's binary threshold is selected using image histogram to make it more tolerant to shadows
- Calibration grid size does not refer to number of black squares any more.  Instead to number of square total.
- Added image enhancement operations
  * Global histogram
  * Local histogram
  * Sharpen 4 and 8
  * Demonstration to example directory
- Interface for V4L4J to provide webcam support
- ImageMiscOps
  * added fillBorder()
- BinaryImageOps
  * Changed API and algorithms used to label blobs and find their contour
  * New algorithm is about 3x faster in all situations.
- Canny edge has been improved
  * Can be configured to create a binary image output or a set of contours
  * Conour pixels are now ordered and returned as a graph
- Fixed bug in FactoryImageBorder.value()
- Color Models (Added)
  * Added HSV, YUV
  * Added new example demonstrating simple color based segmentation
- XML Serialization
  * Switched over to using XStream since XMLEncoder is broken in Java 1.7.
  * XStream also produces easier to read XML
- Added ConfigFast. Configuration class for FAST feature detector
- Image Pyramids and Scale-Space
  * Added additional functions to ImagePyramid interface that provide information on how the image is sample and the amount of blur in it
  * There is no separate class for updating image pyramids any more.  The image pyramid takes in the input image
  * Scale-Space pyramids have been moved into the pyramid package instead of having its own
  * Bug Fix: FeatureLaplacePyramid now looks for local maximum or minimum in searching across scales
  * Removed GaussianScaleSpace class since it can now be represented using ImageFloatPyramid 
- Added ExampleStereoDisparity3D and tweaked the first one
- Shape Fitting (Added)
  * Fit polygon
  * Fit ellipse
  * Usage examples
- BRIEF description computation is 30% faster
- Made it easier to create mosaics from colored images and updated examples
- Generalized several classes so that images other than single band can be used
  * VideoInterface
  * SimpleImageSequence
- Added average down sampling and a related discrete image pyramid
- Android: YUV to RGB now works
- ExampleImageStitching has rendering code pushed into it

---------------------------------------------
Date    : 2013/02/16
Version : Alpha 0.13

- Removed TupleDescQueue 
  * Use UtilFeature.createFeature() instead or extend FastQueue
- Fixed bug in ImplSelectSparseStandardWta_* where peak checks for 0 disparity were incorrectly handled
- FactoryPointSequentialTracker tweaked tracker configurations for better SFM performance
- PointTrackerKltPyramid can now create new data to store tracks after init
- Made scale configurable in corner based interest points
- Renamed GeneralAssociation to AssociateDescription
- Added AssociateDescription2D for association with location info
- ScoreAssociateCorrelation no longer takes the abs()
- SIFT
  * Accounts for offset during sub-sampling
  * Documents deviations from paper in pyramid construction
  * Tweaked pyramid construction
  * Tweaked non-maximum suppression
- Improved handling of Max Features in SURF + SIFT
  * All features are considered in order of intensity
  * Features are no longer added once the max has been reached
- Point Trackers
  * Renamed and changed function
  * Created interface for extracting feature descriptions
  * Added variant designed for two pass tracking
- Chessboard and Square grid calibration target detectors
  * Made minimum blob automatically adjust to image size
  * Made it user configurable
  * These changes allow calibration of 320x240 images
  * Fixed multiple bugs/issues so that it detects targets more reliably
- PerspectiveOps.scaleIntrinsic() changes image width/height
- Improved unit tests for MultiSpectral images
- ImageConvert
  * Added support for ImageSInt64
  * Added support for MultiSpectral to SingleBand using average
  * Added GImageConvert
- Code to convert between different types of TupleDesc
- Fixed bug in TupleDesc_F64 SAD scorer
- Added approximate nearest neighbor from DDogleg
  * k-d tree best-bin-first
  * k-d random forest
- Changing the way complex algorithm are configured
  * Instead of passing in parameters to a factory a config class is passed in.
  * Affected: SIFT, SURF
- PixelMath
  * Fixed bug in PixelMath.subtract for ImageUInt8
    - Thanks Paul Dumais for reporting the problem
  * Added PixelMath.invert()
- Associate and ScoreAssociation
  * Added ability to set a threshold via Associate interface
  * Can get a list of unassociate destination features
  * Can determine if the algorithm selects a unique match for source and destination
  * Created MatchScoreType to provide more information on the score's behavior 
- Created EasyGeneralFeatureDetector
  * Automatically handles image derivatives
  * Split off from WrapGeneralFeatureDetector
- GeneralFeatureDetector 
  * moved to alg package
  * can now detect local minimums
  * Removed ability to segment image.  Turned out to not be all that useful, just increase the size of the non-maximum region.
- Non-Maximum supression
  * Renamed FeatureExtractor to NonMaxSuppression
    - Removed the parameter for requesting the number of returned features
  * All algorithms contained a bug where the ignore border was being incorrectly enforced
  * Added support for detecting maximums and minimums
- Fixed bugs in SortBestFeatures and added sort for negative peaks
- GeneralFeatureIntensity: Added flags to indicate if features are maximum or minimums
- Calibration package was missing from Maven build
- Removed maxMatches from greedy assocaition since its not part of Association interface and can be easily added
- Android
  * ConvertNV21 - Convert camera preview images into BoofCV image types
  * VisualizeImageData - Render different types of image information into a visible format
- Fixed bug in RemoveRadialPto*_* where it couldn't detect convergence
- 2D stabilization checks image fraction contained by points before spawning more points
- LaplacianEdge added suport for U8 in and F32 out
- Added kernel based (using LaplacianEdge) blob detector
- GridRansacLineDetector has support for S16 an F32
- Redesigned image stabilization and mosaic code
  * Much easier to work with now and can be plugged in a high level
  * Added a factory for creating related algorithms
- Stereo Disparity: support for ImageSInt16

---------------------------------------------
Date    : 2012/12/05
Version : Alpha 0.12

- Fixed inverse wavelet transform so that it bounds the pixel values
  * Wavelet denoising sometimes overflowed
- Adding new feature tracker which combines KLT and DDA style tracking
- Updated Pyramid KLT tracker
  * Removed PkltTrackManager and pushed its functionality into the ImagePointTracker implementation
  * Was only separate for historical reasons
  * renamed PstWrapperPyramidKlt to PointTrackerKltPyramid
  * Deleted GenericPkltFeatureSelector and put into KLT point tracker
  * Moved what was left into KLT directory
- ImagePointTracker
  * Changed contract, more fully specified contract, improved tests
  * Updated behavior of implementing classes 
- Deleted KeyFramePointTracker
  * Added pointless complexity.  Use ImagePointTracker instead
  * Changed 2D and 3D SFM algorithms which were using it
- Fixed bugs in various feature descriptors setTo() and copy() functions:
  * SurfFeature
  * TupleDesc_B
  * NccFeature
- Feature Descriptors
  * No longer have hidden orienation estimation algorithms inside
- Feature Orienation
  * Interfaces moved to abst package
  * Created wrappers to convert different types into image input
  * Added a new factory
- Created DetectDescribePoint interface
  * Combines detection and describing into a single interface
  * Useful for algorithms which have coupled data structures are are more efficient this way.
- FactoryPointSequentialTracker has been tweaked a bit
- GeneralAssociation provides two functions for specifying the source and destination lists
  * Allows better optimization since preprocessing might only need to be done once
- ConvertBufferedImage
  * Added support for sub-image BufferedImages
- All numerics code has been put into its own project
  * http://ddogleg.org
- Reworking several basic image operations
  * Created ImageMiscOps
  * Created ImageStatistics
  * Deleted ImageTestingOps
  * Changed PixelMath
  * Changed GeneralizedImageOps
- Added setTo() in ImageBase
- FastHessianFeatureDetector now recycles ScalePoints that it detects
- Removed canoncialRadius() from feature detector and descriptor
  * It was poorly implemented
  * Was not consistent with scale-space theory
- Added 2D convolution in KernelMath
- Maven build has been added.
  * BoofCV is on the central repository
- Added SIFT feature descriptor and detector
- Removed seperable kernel 
  * Wasn't being used and there is no need for it with more modern techniques
  * Plus it was causing a unit test to fail
- Removed Gaussian12 and Steerable feature descriptors
  * They sucked and were not properly implemented limited their historical value

---------------------------------------------
Date    : 2012/11/6
Version : Alpha 0.11

- Association Score
  * Normalized Cross Correlation (NCC) has been fixed (yet again) in ScoreAssociateNccFeature where the abs() was incorretly being taken.
  * Fixed bug in NccFeature.setTo()
- FactoryAssociation
  * Added NCC to defaultScore()
- Template Matching
  * Added NCC template matching algorithm
  * TemplateScoreType: ERROR_SQUARED renamed to SUM_DIFF_SQ
- ModelSet
  * Original index of inlier set can be requested now
  * Removed the ability to generate multiple hypotheses.  Was not needed after all.
  * RANSAC score has been deleted and RANSAC simplified
- RectifyImageOps
  * Cleaned up function names and improved documentation
- LensDistortionOps
  * Added transformRadialToPixel_F64()
- Reorganized functions in geometric vision package
  * Created MultiViewOps and PerspetiveOps
  * Refactored/deleted other related Util classes
  * Enums are now used to select which algorithm is returned in the Factory in many cases
  * New interfaces for each problem and improved JavaDoc
- Moved AssociatedPair and PointPositionPair to boofcv.struct.geo package
- Trifocal Tensor
  * Added related functions to MultiViewOps
  * Added linear estimator for 7+ points
- PnP Problem
  * Added two P3P solutions
  * Analytic Jacobian for non-linear refinement
  * Refactored class names for better consistency
- Fixed bugs in StereoSparse3D
- Fixed bug in DistortImageOps.boundBox_F32()
- Added ImageGridPanel to display a set of images as a grid
- ModelMatcher added getMinimumSize()
- Renamed PointPosePair to Point2D3D since the old name was misleading
- Visual Odometry
  * Added stereo camera based algorithm that uses PnP for pose estimation
  * Removed broken mono and stereo algorithms
- DetectAssociateTracker
  * Changed from an abstract class into a regular class
  * Deleted SURF,BRIEF,NCC specific implementations since they are no longer needed
- AssociatedPair
  * renamed key and curr points to p1 and p2
  * new names are more generic and consistent 
- DetectAssociateTracker
  * Changed internal design a bit and fixed bugs
  * Performs well in structure from motion applications (2D and 3D)
- ImagePointTracker accessors changed so that a storage list is requested
  * Makes usage easier since now its impossible to drop a track while reading
    from the main list.
  * Updated implementations so that the internal list is not returned
  * Removed addTrack() since only KLT supported that functionality, hence not generic.
- ConvertBufferedImage
  * Fixed bug where INDEXED images where not being converted correctly

---------------------------------------------
Date    : 2012/09/18
Version : Alpha 0.10

- Association Score
  * Pushed implementations of ScoreAssociation into abst package
  * Put most association distance algorithms into DescriptorDistance
  * Added hamming lookup table
  * Brief now uses a look up table.  About a 7x speed improvement.
  * FactoryAssociate now can create instances of ScoreAssociate.
  * Fixed incorrect NCC equation.  Thanks Christian Kramer.
- DescribeRegionPoint has been redesigned
  * Now more generic and can work with any feature descriptor
  * Separate function for checking to see if feature is inside bounds
- TupleDesc
  * changed to an interface
  * functions added to provide some generic support
- Brief descriptor renamed to TupleDesc_B
  * Acts as a generic binary feature descriptor
- Descriptors
  * BRIEF and BRIEF-SO now can process features along the image border.  Bit set to false in that case.
- Visualization Apps
  * VisualizeAssociationScoreApp has score type in a separate panel and can support binary descriptors
- InterestPointDetector 
  * WrapFHtoInterestPoint now returns the correct detection radius
  * Fixed non-compliant implementations with incorrectly handled unsupported features.  Thanks jasonnn for submitting this bug
- FAST Feature Detector
  * Original implementation was buggy and did not produce same results as original author's code
  * Rewrote from scratch and replicates original author results
- GeneralFeatureDetector moved from extract to interest package
- Fundamental/Essential Matrix
  * 7-point algorithm now returns all solutions and the algorithm was tweaked
  * Nister 5-pt Essential Matrix
  * Abstractions which can handle multiple solutions
  * Stability evaluator for epipolar matrices
  * Improved unit tests
- Polynomials
  * Various ways to find and polish polynomial roots (EVD and Sturm)
  * New data type and basic operations
- Added ExampleStereoTwoViewsOneCamera
  * Demonstrates how to perform stereo image processing using a single camera and two views
- LensDistortionOps
  * Added normalized to distorted pixel transform
  * Tweaked some of the function names
- SparseIntegralSample_I32.isInBounds() did not return that correct value along the right and bottom image border 
- Functions inside of GThresholdImageOps did not return the number of blobs found like it should
  * Thanks jasonnn
- NonMaxBlockStrict
  * Fixed bug where it assumed intensity values are all positive
- TemplateMatching
  * Added code for template matching
  * Added example code to demonstrate its use
- Added support for alpha channel in ConvertBufferedImage 
- FactoryPointSequentialTracker doesn't create trackers with FAST detector instead uses ShiTomasi to improve stability

---------------------------------------------
Date    : 2012/7/22
Version : Alpha 0.9

- Renamed factories
  * FactoryBlobDetector -> FactoryDetectPoint
  * FactoryCornerDetector -> FactoryDetectPoint
- Renamed KLT corner to Shi Tomasi corner, which is more standard
- Fixed bug various point detectors where if the input image was resized the edge intensity might not be zero when it should be
- Changed some corner detection algorithms to take the intensity image in as an input.
- Added new Pixel to Normalized transform
- Created interface for Stereo visual odometry
- Fixed bug in unsafe_set inside of ImageInt8
- Added unsafe_set() and unsafe_get() to ImageFloat32, ImageFloat64, ImageSInt64
- Fixed bug in ImageSInt64.set() where the value was cast into a short  
- Changed transform* functions inside of DistortImageOps so that you can specify how outside image pixels are handled.
- Fixed bug in ImageHistogramPanel - reported by Ray
  * Added support for integer images
- Integration
  * Created ant build scripts
  * Updated Xuggler integration code
  * Added Android
- Generalized SimpleImageSequence so that it does not reference BufferedImage and will play nicer with Android
- Fixed bug in ImplImageDistort* where for 16bit and 32 bit images values were being type casted into bytes
- Changed UnconstrainedMinimization so that the minimum function value is specified in setFunction()
- Added ExampleContours
  * Thanks cspnanda for pointing out the lack of documentation
- New non-maximum suppression algorithm
  * About the same for 3x3 regions, much faster for larger regions
  * Tweaked related API and improved unit tests
- Fixed bug in WrapDescrivePixelRegion where the descriptor is not properly configured for integer images
- Added SIFT feature descriptor and detector

---------------------------------------------
Date    : 2012/05/13
Version : Alpha 0.8

*IMPORTANT* Discard old calibration files and calibrate again with latest code!

- Added processing monitor to CalibrateStereoPlanarGuiApp
- Fixed bug in Zhang99 calibration where Rodrigues coordinates were being parameterized incorrectly
  * Calibration results would be less accurate, but have a lower residual due to the increased degree of freedom
- Added analytic Jacobian to Zhang99
  * Decided not to use it since it produces same estimation parameters as numerical.
- Added functions for creating detectors in FactoryPlanarCalibrationTarget
  * changed code to reference those functions
- Stereo Disparity Image
  * Dense and Sparse algorithms
  * Rectangular region winner take all (WTA)
    - Validation: right to left, max error, texture
    - Precision: Pixel and Subpixel
  * Algorithms:
    - Basic rectangular region
    - Five region adaptive: Hirschmuller, et. al. "Real-Time Correlation-Based Stereo Vision with Reduced Border Errors," 2002
- IntrinsicParameters
  * Added flipY to parameter list since it is vital information for many
    calculations.
- RectifyImageOps
  * Fixed bug in functions that adjusted the rectification for viewing.
    If left handed the coordinate systems got messed up
- Changed allInside() so that the annoying single pixel black region is gone
  * RectifyImageOps and LensDistortOps
- FactoryCornerDetector
  * Added flag for weighted KLT and Harris
- Added weighted corners to list of features in some evaluation apps
- Examples:
  * ExampleCalibrateMonocularPoints
  * ExampleDetectCalibrationPoints
  * ExampleStereoDisparity
- ImageTestingOps
  * Flip image vertical 
- Fast point cloud viewer

---------------------------------------------
Date    : 2012/04/22
Version : Alpha 0.7

- Redesigned how evaluation apps/applets handle data input and configuration
- Removed the epipolar directory
  * More than just stereo algorithms in there
- Camera calibration outputs XML file containing intrinsic parameters
  * Java XML serialization
- For square calibration grids, added sub-pixel refinement using canny edge
- Fixed a bug in camera calibration where it transposed the grid instead of rotating it
  if the number of rows/columns needed to be swapped.
- 3D Vision Algorithms
  * Estimate translation given rotation and two observations
  * Refine pose estimate given set of 3D points and observations
  * Interface for n-view triangulation
  * Bundle adjustment for calibrated cameras
    - Analytic Jacobian
    - A bit slow right now
- Changed behavior of GeneralFeatureDetector
  * Supports sub-region extraction.  Forces features to be more spread out
  * Max N now is the total number of features, including excludes
- Improved speed of Levenberg algorithm by taking advantage of symmetry
- UtilEpipolar
  * Added canonicalCamera() and decomposeCameraMatrix()
- Created the following Util and Ops classes
  * UtilIntrinsic
  * LensDistortionOps
  * RectifyImageOps
- Stereo Rectification
  * Calibrated with known baseline
  * Uncalibrated, from using a fundamental matrix.
  * Adjust rectification to maximize usefull viewing area
- New Examples
  * Estimate fundamental matrix
  * Rectify calibrated
  * Rectify fundamental matrix
  * Remove lens distortion
- The feature score was not being set in WrapAssociateGreedy
  * Thanks Nir Amar
  * Also changed AssociateSurfBasic for a similar reason
- Fixed problem in FundamentalResidualSampson where the denominator was being squared
- Fixed problem in Se3 Essential generator
- Changed positive depth constraint class

---------------------------------------------
Date    : 2012/03/01
Version : Alpha 0.6

- Added convolution related code for ImageSInt32
- Added weighted KLT and Harris corner detectors
- Refactored factory names and other classes to make them easier to find
  and more consistent
- Planar calibration grid detectors
  * Chess board pattern
  * Square grid pattern
- Generic code for detecting squares in binary images
  * Inside of calibration module
- Application for calibration from planar calibration targets
  * GUI and commandline 
- ImageDistort
  * Fixed bug where border.setImage() was not being called
- ImageBorder
  * Added generalized get(x,y) 
- Refactored FactoryImageBorder into two factories
- Fixed bug in several derivative operators where the passed in border was being
  ignored and an extended border being used instead
- Change ImplImageDistort* to use interpolate.get_unsafe() to speed it up by a large margin
- Moved ImageDistort from boofcv.alg.distort to boofcv.struct.distort
- Added PointTransform_F32
- Added both forward and reverse radial distortion PixelTransform_F32 implementations
- ModelMatcher classes can now create multiple model hypotheses from a single set of points.
- Changed ImagePointTracker to use PointTrack instead of AssociatedPair
  * Created KeyFramePointTracker to track features and create AssociatedPairs
- Added FactoryEpipolar
- Added FactoryTriangulate
- Added non-linear refinement for:
  * Fundamental/Essential matrix
  * Homography matrix
  * Triangulation
- Added 2-view and N-View triangulation algorithms
  * DLT
  * Closest point from two lines
- Added EPnP from Lepetit 2009 paper
  * Validation against author's code is pending
- Added color processing to several Apps
  * EvaluateInterpolateEnlargeApp
  * ShowImageBlurApp
- Added SimpleNumberSequenceReader for reading small sequences of numbers
- Added lens distortion app
- Found subtle bug in Harris corner detector.
  * Surprisingly doesn't seem to change output that much.

---------------------------------------------
Date    : 2012/02/01
Version : Alpha 0.5

- Improved SURF performance
  * Fixed various bugs and changed algorithm to improve performance
    - Both speed and stibility have been improved
  * Now is the best performing SURF implementation in the benchmark
- ImplOrientationSlidingWindowIntegral has been replaced with a faster and more accurate algorithm
- Improved integral image support
- Improved sparse gradient support
- Refactored sparse image operator code
  * Added SparseImageSample interface
- Added/Improved unconstrained non-linear optimization code
  * Quasi-Newton line search
  * Levenberg-Marquardt
- Geometric vision and calibration code which uses non-linear optimization now works correectly
- Started converting internal micro benchmarks to use Caliper

---------------------------------------------
Date    : 2012/01/06
Version : Alpha 0.4

- Changed behavior of ConvertBufferedImage so that it won't automatically swap
  bands in MultiSpecitral image
  * orderBandsIntoRGB() has been provided to do that manually if needed
- All automatic convert to/from BGR and been removed from ConvertRaster
- Fixed SURF related issue
  * Image bounds check was being incorrectly performed for integral image
    orientation estimation algorithms (Thanks Oleg Chernoguz for pointing this out)
  * FactoryOrientationAlgs.sliding_ii() was creating an average orienation alg for I32 images
  * Some coordinates were integer instead of double
- Added comments to several factories and other classes
- Added ant script for examples and readme.txt explaining how to use it

---------------------------------------------
Date    : 2012/01/02
Version : Alpha 0.3

- Camera Calibration
  * Planar grid (Zhang 98)
  * Camera calibration matrix from homographies
  * Linear radial distortion
  * Decomposition of homography for calibration
  * Nonlinear optimization of all parameters
- Calibration Grid Detection
  * Detects corners up to "pixel accuracy", in reality its probably worse than that
  * Sub-pixel accuracy code exists but needs more work
- Added min and max values to ImageTestingOps.addGaussian()
- Tweaked factories related to wavelet denoising so that they take in
  an image type.
- Removed cyclical dependency between modules by creating a visualize modules
- Added to BinaryImageOps
  * label to clusters
  * clusters to binary
- Renamed ImageBase to ImageSingleBand
- Created a new ImageBase
- Flushed out MultSpectral image type more and extended ImageBase
  * Created functions to convert to and from BufferedImage
- Changed behavior of several functions in GeneralizedImageOps to include
  MultiSpectral images
  * refactor createImage -> createSingleBand 
- Updated ant scripts
  * Common template is now used for the different modules
  * Fixed unit test and make it work across the whole project
- Added crop to ImageDistort
  * If cropping is used the only part of the destimation image is processed
- Created calibration package to hold calibration related code
- Moved jars not part of the primary build into boofcv/lib/testing
- Started converting runtime benchmark code over to Caliper
  * http://code.google.com/p/caliper/

---------------------------------------------
Date    : 2011/12/01 
Version : Alpha 0.2

- Added integer polynomial interpolation
  * Cleaned up polynomial interpolation code
- Fixed bug in PixelMath.bound() dealing with unsigned images
- Converting to a BufferedImage now marks it as modified
- Added min and max pixel values to ImageTypeInfo
- Added ComplexMath
- Added PolynomialSolver
- Added process(image) to PointSequentialTracker and renamed it to ImagePointTracker
- Added the following 3D vision code:
  * Linear 8-point essential/fundamental matrix
  * Linear 7-point essential/fundamental matrix
  * Linear 4-point homography
  * Extract camera motion from essential
  * Extract camera and plane normal from homography
  * Triangulate: Linear pixel depth
  * Projective N Point (PNP): Linear N >= 6
- Added non-linear optimizer based upon Levenberg-Marquardt
- Added pixel region based descriptors
  * Raw pixel values
  * Normalized Cross Correlation (NCC)
- Added pixel region based trackers
- Added Sum of Absolute Difference (SAD) feature association score for several different descriptor types.

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Date    : 2011/11/01 
Version : Alpha 0.1 

- Initial public release