Optimization of multi-label problems in computer vision
First Claim
Patent Images
1. A method for computer vision, the method comprising:
- representing a label value at each pixel in an image as a binary word, wherein each binary word comprises a plurality of bits arranged in order of significance;
determining, using a computer, a value of a most significant bit for each binary word in the image using binary optimization; and
repeating the determining for each bit for each binary word in order of decreasing significance to obtain a solution comprising a label for each pixel in the image.
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Abstract
A method of labeling pixels in an image is described where the pixel label is selected from a set of three or more labels. The pixel labeling problem is reduced to a sequence of binary optimizations by representing the label value for each pixel as a binary word and then optimizing the value of each bit within the word, starting with the most significant bit. Data which has been learned from one or more training images is used in the optimization to provide information about the less significant bits within the word.
27 Citations
19 Claims
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1. A method for computer vision, the method comprising:
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representing a label value at each pixel in an image as a binary word, wherein each binary word comprises a plurality of bits arranged in order of significance; determining, using a computer, a value of a most significant bit for each binary word in the image using binary optimization; and repeating the determining for each bit for each binary word in order of decreasing significance to obtain a solution comprising a label for each pixel in the image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. One or more computer-readable memory storing computer-executable instructions that, when executed on a processor, configure the processor to perform operations comprising:
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representing, during a computer vision process, a label value at each pixel in an image as a binary word, wherein each binary word comprises a plurality of bits; determining, using a computer, a value of a bit for each binary word in the image using binary optimization and a learned pairwise potential for each bit in each binary word, wherein each learned pairwise potential comprises a least-squared error approximation of a pairwise potential at each bit level; and repeating the determining for each bit for each binary word to obtain a solution comprising a label for each pixel in the image.
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13. A method for computer vision, the method comprising:
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representing a label value at each pixel in an image as a binary word, wherein each binary word comprises a plurality of bits arranged in order of significance; and performing, using a computer, binary optimization for each bit in order of decreasing significance, starting with a most significant bit, for each binary word to obtain a solution comprising a label for each pixel in the image. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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Specification