Stereo matching using census transform of adaptive window sizes with gradient images

2016 ◽  
Author(s):  
Jaeryun Ko ◽  
Yo-Sung Ho
Keyword(s):  
Stereo Matching ◽  
Census Transform ◽  
Adaptive Window

Binocular Ranging Method Using Stereo Matching Based on Improved Census Transform

2019 ◽  
Vol 56 (11) ◽  
pp. 111503
Author(s):  
李大华 Dahua Li ◽  
沈洪宇 Hongyu Shen ◽  
于晓 Xiao Yu ◽  
高强 Qiang Gao ◽  
汪宏威 Hongwei Wang
Keyword(s):  
Stereo Matching ◽  
Census Transform

scholarly journals Improved census transform for noise robust stereo matching

2016 ◽  
Vol 55 (6) ◽  
pp. 063107 ◽  
Author(s):  
Jongchul Lee ◽  
Daeyoon Jun ◽  
Changkyoung Eem ◽  
Hyunki Hong
Keyword(s):  
Stereo Matching ◽  
Census Transform ◽  
Noise Robust

scholarly journals mproved Stereo Matching Algorithm based on Census Transform and Dynamic Histogram Cost Computation

2021 ◽  
Vol 11 (8) ◽  
pp. 48-57
Author(s):  
A. F. Kadmin ◽  
◽  
R. A. Hamzah ◽  
M. N. Abd Manap ◽  
M. S. Hamid ◽  
...  
Keyword(s):  
Stereo Matching ◽  
Disparity Map ◽  
Local Method ◽  
Matching Algorithm ◽  
Census Transform ◽  
Traditional Taxonomy ◽  
Matching Cost ◽  
Winner Takes All ◽  
The Cost ◽  
Vision Algorithm

Stereo matching is a significant subject in the stereo vision algorithm. Traditional taxonomy composition consists of several issues in the stereo correspondences process such as radiometric distortion, discontinuity, and low accuracy at the low texture regions. This new taxonomy improves the local method of stereo matching algorithm based on the dynamic cost computation for disparity map measurement. This method utilised modified dynamic cost computation in the matching cost stage. A modified Census Transform with dynamic histogram is used to provide the cost volume. An adaptive bilateral filtering is applied to retain the image depth and edge information in the cost aggregation stage. A Winner Takes All (WTA) optimisation is applied in the disparity selection and a left-right check with an adaptive bilateral median filtering are employed for final refinement. Based on the dataset of standard Middlebury, the taxonomy has better accuracy and outperformed several other state-ofthe-art algorithms. Keywords—Stereo matching, disparity map, dynamic cost, census transform, local method

scholarly journals Segment-based adaptive window and multi-feature fusion for stereo matching

2016 ◽  
Vol 10 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Hua Shi ◽  
Hong Zhu ◽  
Jing Wang ◽  
Shun-Yuan Yu ◽  
Zheng-Fang Fu
Keyword(s):  
Stereo Matching ◽  
Feature Fusion ◽  
Adaptive Window

Stereo matching algorithm based on improved Census transform and texture filtering

Optik ◽  
2021 ◽  
pp. 168186
Author(s):  
Yuguang Hou ◽  
Changying Liu ◽  
Bowen An ◽  
Yang Liu
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Census Transform ◽  
Texture Filtering
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