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» Novel image feature alphabets for object recognition
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ICIP
2000
IEEE
15 years 11 months ago
The Role of Massive Color Quantization in Object Recognition
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean e...
Signe Redfield, John G. Harris
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 4 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
ICIP
2006
IEEE
15 years 11 months ago
Recognition of Multi-Object Events Using Attribute Grammars
* We present a method for representing and recognizing visual events using attribute grammars. In contrast to conventional grammars, attribute grammars are capable of describing fe...
Seong-Wook Joo, Rama Chellappa
CVPR
1998
IEEE
15 years 1 months ago
Appearance Based Behavior Recognition by Event Driven Selective Attention
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
Toshikazu Wada, Takashi Matsuyama
NIPS
2008
14 years 11 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori