Image analysis – Histogram processing – With pattern recognition or classification
Reexamination Certificate
2011-05-24
2011-05-24
Ahmed, Samir A (Department: 2624)
Image analysis
Histogram processing
With pattern recognition or classification
C382S168000, C382S159000, C382S190000
Reexamination Certificate
active
07949186
ABSTRACT:
A method for classifying or comparing objects includes detecting points of interest within two objects, computing feature descriptors at said points of interest, forming a multi-resolution histogram over feature descriptors for each object and computing a weighted intersection of multi-resolution histogram for each object. An alternative embodiment includes a method for matching objects by defining a plurality of bins for multi-resolution histograms having various levels and a plurality of cluster groups, each group having a center, for each point of interest, calculating a bin index, a bin count and a maximal distance to the bin center and providing a path vector indicative of the bins chosen at each level. Still another embodiment includes a method for matching objects comprising creating a set of feature vectors for each object of interest, mapping each set of feature vectors to a single high-dimensional vector to create an embedding vector and encoding each embedding vector with a binary hash string.
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Darrell Trevor
Grauman Kristen
Ahmed Samir A
Daly, Crowley, Mofford&Durkee, LLP
Liu Li
Massachusetts Institute of Technology
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