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» Learning Feature Distance Measures for Image Correspondences
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ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
14 years 3 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
MVA
2002
125views Computer Vision» more  MVA 2002»
13 years 8 months ago
Recognition of 3-D Free-form Objects Using Distance-supported Shape Index
In this paper, we present an approach to incorporating partial geometric information into a local feature-based The distance-supported shape index is proposed for the representatio...
Dong-O Kim, Sang Wook Lee, Rae-Hong Park
ICCV
2009
IEEE
15 years 2 months ago
Is that you? Metric Learning Approaches for Face Identification
Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose, lighting, background...
Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmi...
CVPR
2007
IEEE
14 years 11 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
IJCAI
2007
13 years 10 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell