Results 271 to 280 of about 19,312 (309)

Stereo Matching by Interpolation

2006
Stereo 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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A foveal architecture for stereo matching

Proceedings. International Conference on Image Processing, 2003
We 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, Javier Villegas Plazas   +1 more
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Visually Imbalanced Stereo Matching

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Understanding of human vision system (HVS) has inspired many computer vision algorithms. Stereo matching, which borrows the idea from human stereopsis, has been extensively studied in the existing literature. However, scant attention has been drawn on a typical scenario where binocular inputs are qualitatively different (e.g., high-res master camera ...
Yicun Liu, Jimmy S. Ren, Jiawei Zhang 0002, Jianbo Liu, Mude Lin   +4 more
openaire   +1 more source

Parallel epipolar stereo matching

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Stereo 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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Planarity constraint in stereo matching

[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003
Stereo problems regarding range resolution, the output available for higher-level postprocessing, and the so-called correspondence problem are discussed. To solve the problems, it is proposed to use boundary segments of regions as units for correspondence between a pair of stereo images.
Hironobu Takahashi, Fumiaki Tomita
openaire   +1 more source

Sub-pixel stereo matching

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, Jean-Michel Morel, Andrés Almansa   +2 more
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String matching for stereo vision

Pattern Recognition Letters, 1989
Abstract 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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Occlusion-Aware Stereo Matching

International Journal of Computer Vision, 2016
Stereo vision systems with additional flash/no-flash cues have been demonstrated to be robust to depth discontinuities. The ratio of a flash and no-flash image pair naturally provides additional scene depth information and thus can serve as a strong cue for preserving depth discontinuities.
Jintao Xu, Qingxiong Yang, Zuren Feng
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Brightness-based Stereo Matching

[1988 Proceedings] Second International Conference on Computer Vision, 2005
This paper presents a stereo matching method, based on image brightness matching, that does not rely on correlatitsn. We develop a model for how brightness changes from one irnage to another in a stereo pair. A spatially-varying multiplier is used to relate image brightnesses, so that matching of dissimilx greyvalues can occur.
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Structural matching for stereo vision

[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003
An approach for solving the stereo correspondence problem is suggested that is based on extracting local image structures and matching similar structures between two images. The individual matches are represented as nodes in a graph. Arcs in this graph represent local photometric, geometrical, and topological similarities between the two images.
Radu Horaud, Thomas Skordas
openaire   +1 more source