A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature detection from local energy
Pattern Recognition Letters
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Belief-propagation on edge images for stereo analysis of image sequences
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Approximated Ground Truth for Stereo and Motion Analysis on Real-World Sequences
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
A Study on Stereo and Motion Data Accuracy for a Moving Platform
Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Graph-Cut versus Belief-Propagation Stereo on Real-World Images
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Belief Propagation Implementation Using CUDA on an NVIDIA GTX 280
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Ground truth evaluation of stereo algorithms for real world applications
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
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This paper studies different specifications of belief propagation for stereo analysis of seven rectified stereo night-vision sequences (provided by Daimler AG). As shown in [4], Sobel preprocessing of images has obvious impacts on improving disparity calculations. This paper considers other options of preprocessing (Canny and Kovesi-Owens edge operators), and concludes with a recommended setting for belief propagation on those sequences.