Machine vision
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Using Real-Time Stereo Vision for Mobile Robot Navigation
Autonomous Robots
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Neural adaptive stereo matching
Pattern Recognition Letters
Shape and the Stereo Correspondence Problem
International Journal of Computer Vision
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Using Monocular Cues within the Tensor Voting Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast correlation-based stereo matching with the reduction of systematic errors
Pattern Recognition Letters
Stereo Matching with Symmetric Cost Functions
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Region-Tree Based Stereo Using Dynamic Programming Optimization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
A Roadmap to the Integration of Early Visual Modules
International Journal of Computer Vision
People detection and tracking using stereo vision and color
Image and Vision Computing
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Local stereo matching with adaptive support-weight, rank transform and disparity calibration
Pattern Recognition Letters
Iterated dynamic programming and quadtree subregioning for fast stereo matching
Image and Vision Computing
Autonomous vision-based robotic exploration and mapping using hybrid maps and particle filters
Image and Vision Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Correspondence search in the presence of specular highlights using specular-free two-band images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Fast panoramic stereo matching using cylindrical maximum surfaces
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Adaptive Census Transform: A novel hardware-oriented stereovision algorithm
Computer Vision and Image Understanding
Stereo Matching Based on Dissimilar Intensity Support and Belief Propagation
Journal of Mathematical Imaging and Vision
Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching
Expert Systems with Applications: An International Journal
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Many robotic and machine-vision applications rely on the accurate results of stereo correspondence algorithms. However, difficult environmental conditions, such as differentiations in illumination depending on the viewpoint, heavily affect the stereo algorithms' performance. This work proposes a new illumination-invariant dissimilarity measure in order to substitute the established intensity-based ones. The proposed measure can be adopted by almost any of the existing stereo algorithms, enhancing it with its robust features. The performance of the dissimilarity measure is validated through experimentation with a new adaptive support weight (ASW) stereo correspondence algorithm. Experimental results for a variety of lighting conditions are gathered and compared to those of intensity-based algorithms. The algorithm using the proposed dissimilarity measure outperforms all the other examined algorithms, exhibiting tolerance to illumination differentiations and robust behavior.