A locally adaptive window for signal matching
International Journal of Computer Vision
3-D Surface Description from Binocular Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Occluding Contour Artifacts in Stereo Vision
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Occlusion Detectable Stereo -- Occlusion Patterns in Camera Matrix
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Extracting View-Dependent Depth Maps from a Collection of Images
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
A PC-based real-time stereo vision system
Machine Graphics & Vision International Journal
Shape and the Stereo Correspondence Problem
International Journal of Computer Vision
Stereo Using Monocular Cues within the Tensor Voting Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo for Image-Based Rendering using Image Over-Segmentation
International Journal of Computer Vision
Coarse-to-fine stereo vision with accurate 3D boundaries
Image and Vision Computing
A fast and robust feature-based 3D algorithm using compressed image correlation
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Step over motion of four wheeled and four legged flexible personal robot
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A correlation-based approach for real-time stereo matching
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Review article: A 1D approach to correlation-based stereo matching
Image and Vision Computing
Qualitative and quantitative evaluation of correlation based stereo matching algorithms
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
Analysis of KITTI data for stereo analysis with stereo confidence measures
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Optimality in combinations of confidence measures for stereo vision
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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For recovering precise object boundaries in area-based stereo matching, there are two problems. One is the so-called “occlusion problem”. This can be avoided if we can select only “visible” cameras among many cameras used. Another one is the problem called “boundary overreach”, i.e. the recovered object boundary turns out to be wrongly located away from the real one due to the window's coverage beyond a boundary. This is especially harmful to segmenting objects using depth information. A few approaches have been proposed to solve this problem. However, these techniques tend to degrade on smooth surfaces. That is, there seems to be a trade-off problem between recovering precise object edges and obtaining smooth surfaces.In this paper, we propose a new simple method to solve these problems. Using multiple stereo pairs and multiple windowing, our method detects the region where the boundary overreach is likely to occur (let us call it “BO region”) and adopts appropriate methods for the BO and non-BO regions. Although the proposed method is quite simple, the experimental results have shown that it is very effective at recovering both sharp object edges at their correct locations and smooth object surfaces. We also present a sound analysis of the boundary overreach which has not been clearly explained in the past.