High memory throughput FPGA architecture for high-definition Belief-Propagation stereo matching

2009 ◽  
Author(s):  
Jesus M. Perez ◽  
Pablo Sanchez ◽  
Marcos Martinez
Keyword(s):  
Stereo Matching ◽  
Belief Propagation ◽  
High Definition ◽  
Fpga Architecture

Stereo Matching with Semi-limited Belief Propagation

2012 ◽  
Author(s):  
Chengzhi Luo ◽  
Jianjun Lei ◽  
Guanglong Hu ◽  
Kefeng Fan ◽  
Shupo Bu
Keyword(s):  
Stereo Matching ◽  
Belief Propagation

Stereo matching using belief propagation

2003 ◽  
Vol 25 (7) ◽  
pp. 787-800 ◽  
Author(s):  
Jian Sun ◽  
Nan-Ning Zheng ◽  
Heung-Yeung Shum
Keyword(s):  
Stereo Matching ◽  
Belief Propagation

Belief propagation stereo matching algorithm for Chang’E-3 pancam image data

2016 ◽  
Vol 46 (2) ◽  
pp. 029606
Author(s):  
FangFang CHEN ◽  
Yan SONG ◽  
YuGang TIAN ◽  
DongBo ZHU
Keyword(s):  
Stereo Matching ◽  
Belief Propagation ◽  
Image Data ◽  
Matching Algorithm

Towards a real-time high-definition depth sensor with hardware-efficient stereo matching

2012 ◽  
Author(s):  
Ke Zhang ◽  
Guanyu Yi ◽  
C.-K. Liao ◽  
Christine Lin ◽  
Hsiu-Chi Yeh ◽  
...  
Keyword(s):  
Real Time ◽  
Stereo Matching ◽  
Depth Sensor ◽  
High Definition

Ambiguous Region Matching and Boundary Pixel Optimization for Stereo Computation

2012 ◽  
Vol 546-547 ◽  
pp. 735-740
Author(s):  
Xing Nian Cui ◽  
Fan Yang ◽  
Qing Min Liao
Keyword(s):  
Stereo Matching ◽  
Belief Propagation ◽  
Mean Shift ◽  
Mixed Pixel ◽  
Region Matching ◽  
Mixed Pixels ◽  
Belief Propagation Algorithm ◽  
The Mean ◽  
Boundary Pixel ◽  
Coarse To Fine

In this paper, we present a stereo matching algorithm based on planar surface hypothesis. It improves the results of low texture regions and mixed pixels on object boundaries. First, regions are segmented by applying the mean-shift segmentation method. Then we propose a coarse-to-fine algorithm to increase the reliable correspondences in low texture regions. Third, the Belief Propagation algorithm is used to optimize disparity plane labeling. Finally, for a mixed pixel, we utilize the results of the depth plane and the local region of it to regulate its disparity. Experimental results using the Middlebury stereo test show that the performance of our method is high.

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