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ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
14 years 5 months ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...
AVSS
2003
IEEE
14 years 5 months ago
A Reliable-Inference Framework for Recognition of Human Actions
We present an action recognition method based on the concept of reliable inference. Our approach is formulated in a probabilistic framework using posterior class ratios to verify ...
James W. Davis, Ambrish Tyagi
3DPVT
2006
IEEE
139views Visualization» more  3DPVT 2006»
14 years 6 months ago
A Probabilistic Notion of Correspondence and the Epipolar Constraint
We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being rob...
Justin Domke, Yiannis Aloimonos
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
14 years 6 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
ICIP
2007
IEEE
15 years 2 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...
ICCV
2001
IEEE
15 years 2 months ago
A Probabilistic Framework for Space Carving
Adrian Broadhurst, Tom Drummond, Roberto Cipolla
CVPR
2007
IEEE
15 years 2 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
CVPR
2006
IEEE
15 years 2 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
CVPR
2004
IEEE
15 years 2 months ago
Probabilistic Identity Characterization for Face Recognition
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
Shaohua Kevin Zhou, Rama Chellappa
CVPR
2004
IEEE
15 years 2 months ago
Multiscale Conditional Random Fields for Image Labeling
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
Miguel Á. Carreira-Perpiñán, ...