Monday, June 13, 2011

What's new in Computer Vision System Toolbox in R2011a

Matlab have updated is Computer Vision System Toolbox.
Here's the documentation.

Here’s a list of what’s new:
  • extractFeatures function for creating an array of feature vectors (descriptors) based on interest points within an image
  • matchFeatures function for finding the best matches between two arrays of feature vectors (descriptors)
  • Visualization of epipolar geometry for stereo images using epipolarLine, isEpipoleInImage, and lineToBorderPoints functions

  • estimateUncalibratedRectification function for calculating projective transformations to rectify stereo images
  • Video segmentation based on Gaussian Mixture Models using ForegroundDetector System object YCbCr video format support for ToVideoDisplay block and DeployableVideoPlayer System object
Calling this product a toolbox also allows us to clarify and highlight the MATLAB capabilities in the product that we’ve had since R2010a. Some of these algorithms overlap with Image Processing Toolbox, but provide support for C code generation and fixed-point modeling. Others are unique to Computer Vision System Toolbox, including these:

  • vision.BlockMatcher
  • vision.Deinterlacer
  • vision.GeometricTransformEstimator
  • vision.OpticalFlow
  • vision.TemplateMatcher
Source : Steve Blog

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