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CVPR
2009
IEEE

Learning Mixed Templates for Object Recognition

9 years 10 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures for different object categories. Local sketches and local textures in the object templates account for shapes and appearances respectively. Both local sketches and local textures are extracted from the maps of Gabor filter responses. The local sketches are captured by the local maxima of Gabor responses, where the local maximum pooling accounts for shape deformations in objects. The local textures are captured by the local averages of Gabor filter responses, where the local average pooling extracts texture information for appearances. The selection of local sketch variables and local texture variables can be accomplished by a projection pursuit type of learning process, where both types of variables can be compared and merged within a common framework. The learning process returns a generative ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh
Added 09 Jun 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzhang Si
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