Results 281 to 290 of about 16,591 (312)

Matching photometric-stereo images

Journal of the Optical Society of America A, 1998
We introduce a new process of shape estimation through the matching of photometric-stereo images, which are monocular images obtained under different illuminations. If the illumination directions are not far apart, and if the imaged surface is smooth, so that a linear approximation to the reflectance map is applicable, the disparities produced by the ...
José R. A. Torreão, João L. Fernandes
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Stereo-matching by deformations

[1991 Proceedings] 6th Mediterranean Electrotechnical Conference, 2002
A method is proposed for solving the stereo-matching problem by incrementally deforming one of the images to make it more similar to the other image. The result of this deformation process is a dense displacement field, (disparity map) which for any point in one image defines its corresponding point in the other image of the stereo pair.
S. Kovacic, N. Pavesic, L. Gyergyek
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Stereo matching with superpixels

SPIE Proceedings, 2012
The purpose of a short-baseline stereo matching algorithm is calculation of the disparity map for a given rectified stereo pair. Most stereo algorithms presented in the literature achieve this goal by searching all possible disparities for all pixels. This may be extremely costly if an image size and search range are large. In this paper an efficient
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Matching stereo satellite images

[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
Stereo SPOT satellite images were matched by extracting and then matching linear features. The features were extracted by grouping pixels into regions upon similar gradient orientation. Lines are fitted to regions and parameters calculated providing a rich set of attributes, which are then used to match corresponding features in the stereo images. >
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Edge-Based Stereo Matching

IFAC Proceedings Volumes, 1986
Abstract Most of the recent interest in stereo vision has been devoted to edge-based approaches, because they operate on most discriminate parts of an image. A major problem in stereo is to find corresponding points in the two images. There is no complete solution to this problem, but constraints are needed to reduce the search for a unique solution ...
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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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Single-cell Stereo-seq reveals induced progenitor cells involved in axolotl brain regeneration

Science, 2022

exaly  

STEREO neutrino spectrum of 235U fission rejects sterile neutrino hypothesis

Nature, 2023
Achment Chalil, Loïc-René Labit, Alain Letourneau   +2 more
exaly  

Stereo Matching

2021
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Hierarchically Superhydrophobic Stereo‐Complex Poly (Lactic Acid) Aerogel for Daytime Radiative Cooling

Advanced Functional Materials, 2022
Xianhu Liu
exaly