Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Maximum disparity threshold estimation for stereo imaging systems via variogram analysis
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Comparison of nonparametric transformations and bit vector matching for stereo correlation
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Fast block matching algorithm based on the winner-update strategy
IEEE Transactions on Image Processing
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
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The paper presents a new approach to image matching based on the developed adaptive window growing algorithm. This integer-only algorithm operates on monochrome images transformed into the Census nonparametric representation. It effectively computes the entropy of the local areas and adjusts their size if the entropy is not sufficient. This way the method allows for avoidance of featureless areas that cannot be reliably matched, at the same time maintaining the matching window as small as possible. The special stress has been also laid on efficient implementation that can fit the custom hardware architectures. Therefore the presented algorithm requires only an integer arithmetic. Many experiments with the presented technique applied to the stereovision matching showed its robustness and competing execution times.