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Issue No.07 - July (2007 vol.29)
pp: 1291-1296
ABSTRACT
The problem of object recognition has been considered here. Color descriptions from distinct regions covering multiple segments are considered for object representation. Distinct multicolored regions are detected using edge maps and clustering. Performance of the proposed methodologies has been evaluated on three data sets and the results are found to be better than existing methods when a small number of training views is considered.
INDEX TERMS
Object representation, object descriptor, object recognition, object matching, image representation.
CITATION
Sarif Kumar Naik, C.A. Murthy, "Distinct Multicolored Region Descriptors for Object Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.29, no. 7, pp. 1291-1296, July 2007, doi:10.1109/TPAMI.2007.070701
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