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17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICRA
2009
IEEE
204views Robotics» more  ICRA 2009»
16 years 1 months ago
A high-speed multi-GPU implementation of bottom-up attention using CUDA
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
Tingting Xu, Thomas Pototschnig, Kolja Kühnle...
DAGM
2007
Springer
16 years 1 months ago
A Duality Based Approach for Realtime TV-L1 Optical Flow
Variational methods are among the most successful approaches to calculate the optical flow between two image frames. A particularly appealing formulation is based on total variati...
Christopher Zach, Thomas Pock, Horst Bischof
DAGM
2005
Springer
16 years 15 days ago
A Novel Parameter Decomposition Approach to Faithful Fitting of Quadric Surfaces
This paper addresses a common problem in dealing with range images. We propose a novel method to fit surfaces of known types via a parameter decomposition approach. This approach ...
Xiaoyi Jiang, Da-Chuan Cheng
ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
16 years 14 days ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...
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