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» Cat face detection with two heterogeneous features
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CVPR
2010
IEEE
14 years 2 months ago
Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images
Detecting and segmenting cell regions in microscopic images is a challenging task, because cells typically do not have rich features, and their shapes and appearances are highly i...
Jiyan Pan, Takeo Kanade
FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
13 years 12 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
ICCV
2003
IEEE
14 years 25 days ago
SVM-based Nonparametric Discriminant Analysis, An Application to Face Detection
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
Rik Fransens, Jan De Prins, Luc J. Van Gool
FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
12 years 11 months ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
ICPR
2004
IEEE
14 years 8 months ago
Inter-Stage Feature Propagation in Cascade Building with AdaBoost
A modification of the cascaded detector with the AdaBoost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a seque...
Jan Sochman, Jiri Matas