Results 31 to 40 of about 4,926,930 (294)

Asymmetric occlusion detection using linear regression and weight‐based filling for stereo disparity map estimation

open access: yesIET Computer Vision, 2016
Stereo matching computes the disparity information from stereo image pairs. A number of stereo matching methods have been proposed to estimate a fine disparity map.
T. Malathi, M. K. Bhuyan
doaj   +1 more source

Bilaterally Weighted Patches for Disparity Map Computation

open access: yesImage Processing On Line, 2015
Visual correspondence is the key for 3D reconstruction in binocular stereovision. Local methods perform block-matching to compute the disparity, or apparent motion, of pixels between images. The simplest approach computes the distance of patches, usually
Laura Fernández Julià, Pascal Monasse
doaj   +1 more source

A novel cell structure‐based disparity estimation for unsupervised stereo matching

open access: yesIET Image Processing, 2022
It is well known that preserving depth edges is an effective solution for achieving the accurate disparity map in stereo matching, but many state‐of‐the‐art methods do not preserve depth edges well.
Xianjing Cheng   +6 more
doaj   +1 more source

Literature Survey on Stereo Vision Disparity Map Algorithms

open access: yesJ. Sensors, 2016
This paper presents a literature survey on existing disparity map algorithms. It focuses on four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and evaluation of dense two-frame stereo correspondence algorithms performed ...
R. A. Hamzah, H. Ibrahim
semanticscholar   +1 more source

Hierarchical Stereo Matching in Two-Scale Space for Cyber-Physical System

open access: yesSensors, 2017
Dense disparity map estimation from a high-resolution stereo image is a very difficult problem in terms of both matching accuracy and computation efficiency. Thus, an exhaustive disparity search at full resolution is required.
Eunah Choi, Sangyoon Lee, Hyunki Hong
doaj   +1 more source

Sparse Stereo Disparity Map Densification Using Hierarchical Image Segmentation

open access: yesInternational Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, 2017
We describe a novel method for propagating disparity values using hierarchical segmentation by waterfall and robust regression models. High confidence disparity values obtained by state of the art stereo matching algorithms are interpolated using a ...
S. Drouyer   +4 more
semanticscholar   +1 more source

Dense spatio‐temporal stereo matching for intelligent driving systems

open access: yesIET Image Processing, 2021
This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its preceding one ...
Zakaria Kerkaou   +3 more
doaj   +1 more source

Equal Baseline Camera Array—Calibration, Testbed and Applications

open access: yesApplied Sciences, 2021
This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the ...
Adam L. Kaczmarek, Bernhard Blaschitz
doaj   +1 more source

A Segmented Consistency Check Approach to Disparity Map Refinement

open access: yesCanadian journal of electrical and computer engineering, 2018
In stereo vision field, image processing techniques are used to increase the robustness of some types of solutions, especially those involved in real-world applications.
Gabriel da Silva Vieira   +4 more
semanticscholar   +1 more source

Anisotropic Median Filtering for Stereo Disparity Map Refinement

open access: yesInternational Conference on Computer Vision Theory and Applications, 2018
In this paper we present a novel method for refining stereo disparity maps that is inspired by both simple median filtering and edge-preserving anisotropic filtering.
Nils Einecke, J. Eggert
semanticscholar   +1 more source

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