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CVPR
2007
IEEE
16 years 7 months ago
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence
We describe a method for fully automatic object recognition and segmentation using a set of reference images to specify the appearance of each object. Our method uses a generative...
Ian Simon, Steven M. Seitz
ECCV
2000
Springer
16 years 7 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CVPR
2008
IEEE
16 years 7 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler
HLK
2003
IEEE
15 years 11 months ago
Regularized 3D Morphable Models
Three-dimensional morphable models of object classes are a powerful tool in modeling, animation and recognition. We introduce here the new concept of regularized 3D morphable mode...
Curzio Basso, Thomas Vetter, Volker Blanz
CVPR
2012
IEEE
13 years 8 months ago
3D visual phrases for landmark recognition
In this paper, we study the problem of landmark recognition and propose to leverage 3D visual phrases to improve the performance. A 3D visual phrase is a triangular facet on the s...
Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang 0001, Yan...