A survey of image registration techniques
ACM Computing Surveys (CSUR)
A new region matching method for stereoscopic images
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Dense Stereo Correspondence Using Polychromatic Block Matching
CAIP '93 Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Color Stereo Vision Using Hierarchical Block Matching and Active Color Illumination
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
Temporal consistent real-time stereo for intelligent vehicles
Pattern Recognition Letters
Object distance estimation based on stereo vision and color segmentation with region matching
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
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This paper deals with the regions matching problem of a pair of color stereoscopic images. The proposed approach is carried out in two main steps. The first step selects the candidate matches, which meet the relative position and the overlapping constraints. The second one finds, among these candidates, the correct matches according to a cost function which we define. To guarantee a great similarity between corresponding regions, we propose a new color-based cost function to disambiguate false matches. The cost function take into account the local property at the vicinity of region boundaries. The method is tested on synthesized and real stereo images and the results are satisfactory.