Object class recognition by boosting a part-based model

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 702 - 709 vol. 1
• Main Authors: Bar-Hillel, A., Hertz, T., Weinshall, D.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Benchmark testing; Boosting; Computer science; Computer vision; Detectors; Image recognition; Image representation; Object recognition; Scalability; Supervised learning

We propose a new technique for object class recognition, which learns a generative appearance model in a discriminative manner. The technique is based on the intermediate representation of an image as a set of patches, which are extracted using an interest point detector. The learning problem become...