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ECCV
2006
Springer
14 years 7 months ago
A Boundary-Fragment-Model for Object Detection
The objective of this work is the detection of object classes, such as airplanes or horses. Instead of using a model based on salient image fragments, we show that object class det...
Andreas Opelt, Axel Pinz, Andrew Zisserman
ICCV
2005
IEEE
14 years 7 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
PRL
2002
102views more  PRL 2002»
13 years 5 months ago
Face detection by aggregated Bayesian network classifiers
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate...
Thang V. Pham, Marcel Worring, Arnold W. M. Smeuld...
ECCV
2010
Springer
13 years 10 months ago
Discriminative Mixture-of-Templates for Viewpoint Classification
Abstract. Object viewpoint classification aims at predicting an approximate 3D pose of objects in a scene and is receiving increasing attention. State-of-the-art approaches to view...
ICCV
2005
IEEE
14 years 7 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu