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» Analysis of whole-book recognition
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CVPR
2004
IEEE
16 years 8 months ago
Invariant Operators, Small Samples, and the Bias-Variance Dilemma
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
Xiaojin Shi, Roberto Manduchi
CVPR
2006
IEEE
16 years 8 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
CVPR
2007
IEEE
16 years 8 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
ICCV
2007
IEEE
16 years 8 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele
ICIP
2007
IEEE
16 years 8 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...