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Stereo matching with transparency and matting
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1999This paper formulates and solves a new variant of the stereo correspondence problem: simultaneously recovering the disparities, true colors, and opacities of visible surface elements. This problem arises in newer applications of stereo reconstruction, such as view interpolation and the layering of real imagery with synthetic graphics for special ...
Richard Szeliski, Polina Golland
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Attention Stereo Matching Network
2020 25th International Conference on Pattern Recognition (ICPR), 2021Despite great progress, previous stereo matching algorithms still lack the ability to match textureless regions and slender structure areas. To tackle this problem, we propose ASM-Net, an attention stereo matching network. Attention module and disparity refinement module are constructed in the ASMNet.
Doudou Zhang +4 more
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Maximum likelihood stereo matching
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. In this paper we present a novel method of applying maximum likelihood to stereo matching.
Sebe, Niculae, M. S. Lew
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Stereo Matching by Interpolation
2006Stereo vision is a long-studied problem in computer vision. Yet, few have approached it from the angle of interpolation. In this paper, we present an approach, Interpolation-based Iterative Stereo Matching (IISM), that regards stereo matching as a mapping that maps image position from one view to the corresponding position in the other view, and the ...
Bodong Liang, Ronald Chung
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International Journal of Advanced Pervasive and Ubiquitous Computing, 2013
Determination of the depth of the image feature distinctive automation and other industries of machine vision and computer vision technology in everyday life are becoming increasingly popular. Some techniques have been proposed to extract from the current depth of a 2D image of the feature, which defines a particular object or structure of the ...
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Determination of the depth of the image feature distinctive automation and other industries of machine vision and computer vision technology in everyday life are becoming increasingly popular. Some techniques have been proposed to extract from the current depth of a 2D image of the feature, which defines a particular object or structure of the ...
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Robustness to noise of stereo matching
12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004We have measured the performance of several area-based stereo matching algorithms with noise added to synthetic images. Dense disparity maps were computed and compared with the ground truth using three metrics: the fraction of correctly computed disparities, the mean and the standard deviation of the disparity error distribution. For a noise-free image,
Philippe Leclercq, John Morris
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A foveal architecture for stereo matching
Proceedings. International Conference on Image Processing, 2003We propose a method for the matching of characteristics of stereo images based on the concepts of an initial global match and the foveation of the images. We present several macular tilings that can be used in the foveation process. Given a pair of cameras that image a static scene, vergence is achieved at a minimum of the MSE difference between the ...
Alfredo Restrepo Palacios +1 more
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Parallel epipolar stereo matching
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002Stereo matching is an important step in 3D reconstruction which is not yet solved satisfactorily. Efforts are necessary to enhance the matching quality and to reduce the processing time. To speed up the processing a parallel algorithm for coarse binocular epipolar image matching is presented.
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2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
The obtention of 3D information from two images requires the perfect control of a long chain of algorithms: internal and external calibration, stereo-rectification, correlation, and finally 3D reconstruction. In this paper we focus on the improvement of the correlation step for small baseline stereo.
Neus Sabater +2 more
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The obtention of 3D information from two images requires the perfect control of a long chain of algorithms: internal and external calibration, stereo-rectification, correlation, and finally 3D reconstruction. In this paper we focus on the improvement of the correlation step for small baseline stereo.
Neus Sabater +2 more
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String matching for stereo vision
Pattern Recognition Letters, 1989Abstract In this paper, we present a new approach to the problem of stereo matching essentially based on the comparison of two strings. This stereo matching process consists of two parts: first the Global Matching, which deals with the vertical columns, provides an interval; secondly, the Local Matching works between the horizontal epipolar lines to ...
Hua Zhi Dan, Bernard Dubuisson
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