Core Issues in Graph Based Perceptual Organization: Spectral Cut Measures, Learning
Grouping is a vital precursor to object recognition. The complexity of the object recognition process can be reduced to a large extent by using a frontend grouping process. In this dissertation, a grouping framework based on spectral methods for graphs is used. The objects are segmented from the bac...
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Format: | Others |
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Scholar Commons
2004
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Online Access: | https://scholarcommons.usf.edu/etd/1255 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2254&context=etd |