TY - GEN
T1 - A maximum entropy framework for part-based texture and object recognition
AU - Lazebnik, Svetlana
AU - Schmid, Cordelia
AU - Ponce, Jean
PY - 2005
Y1 - 2005
N2 - This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of scale- or affine-invariant keypoints. Object classes are represented using a dictionary of composite semi-local parts, or groups of neighboring keypoints with stable and distinctive appearance and geometric layout. A discriminative maximum entropy framework is used to learn the posterior distribution of the class label given the occurrences of parts from the dictionary in the training set. Experiments on two texture and two object databases demonstrate the effectiveness of this framework for visual classification.
AB - This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of scale- or affine-invariant keypoints. Object classes are represented using a dictionary of composite semi-local parts, or groups of neighboring keypoints with stable and distinctive appearance and geometric layout. A discriminative maximum entropy framework is used to learn the posterior distribution of the class label given the occurrences of parts from the dictionary in the training set. Experiments on two texture and two object databases demonstrate the effectiveness of this framework for visual classification.
UR - http://www.scopus.com/inward/record.url?scp=33745854718&partnerID=8YFLogxK
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U2 - 10.1109/ICCV.2005.10
DO - 10.1109/ICCV.2005.10
M3 - Conference contribution
AN - SCOPUS:33745854718
SN - 076952334X
SN - 9780769523347
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 832
EP - 838
BT - Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
T2 - Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Y2 - 17 October 2005 through 20 October 2005
ER -