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CVPR
2005
IEEE
14 years 10 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICCV
2005
IEEE
14 years 10 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
TEC
2002
81views more  TEC 2002»
13 years 8 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
AVBPA
2005
Springer
583views Biometrics» more  AVBPA 2005»
14 years 2 months ago
A Survey of 3D Face Recognition Methods
Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction,facial expression, and aging. The m...
Alize E. H. Scheenstra, Arnout Ruifrok, Remco C. V...
ICVGIP
2008
13 years 10 months ago
Object Category Recognition with Projected Texture
Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
Avinash Sharma, Anoop M. Namboodiri