Improved quadruple sparse census transform and adaptive multi‐shape aggregation algorithms for precise stereo matching

Improved quadruple sparse census transform and adaptive multi‐shape aggregation algorithms for precise stereo matching

Abstract Stereo matching is an important computer vision tool for three‐dimensional (3D) positioning, 3D visual representation, precision detection and recognition with 3D information. For 3D visual representation, for example, the depth image‐based rendering (DIBR) needs high accuracy depth maps to...

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Bibliographic Details
Main Authors: Chih‐Hsuan Huang, Jar‐Ferr Yang
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:IET Computer Vision
Subjects:
adaptive support weight
census transform
cost aggregation
depth estimation
multi‐shape aggregation
stereo matching
Online Access:https://doi.org/10.1049/cvi2.12076

Internet

https://doi.org/10.1049/cvi2.12076

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