BoofCV Change Log

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Revision as of 08:01, 1 February 2012 by Peter (talk | contribs) (Updated for v0.5)
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Change Log

Date Format: year/month/day

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

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) score for feature association with a few different descriptor types.

Date  : 2011/11/01 Version : Alpha 0.1

  • Initial public release