Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Progressive Refinement of Raster Images
IEEE Transactions on Computers
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
An Optimized Software-Based Implementation of a Census-Based Stereo Matching Algorithm
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Flexible hardware-based stereo matching
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
Accurate hardware-based stereo vision
Computer Vision and Image Understanding
An indexing scheme for fast and accurate chemical fingerprint database searching
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Machine efficient adaptive image matching based on the nonparametric transformations
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Adaptive window growing technique for efficient image matching
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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The paper describes and compares stereo matching methods based on nonparametric image transformations. The new nonparametric measures for local neighborhoods of pixels are proposed as well. These are extensions to the well known Census transformation, successively used in many computer vision tasks. The resulting bit-fields are matched with the binary vectors comparison measures: Hamming, Tanimoto and Dixon-Koehler. The presented algorithms require only integer arithmetic what makes them very useful for real-time applications and hardware implementations. Many experiments with the presented techniques, employed to the stereovision, showed their robustness and competing execution times.