Belief propagation and self-adaptive voting dense stereo disparity estimation for textureless scene 3D Reconstruction

This study presents a real-time depth estimation hardware system aiming to provide high-resolution depth data and to eliminate its noise on textureless regions without causing any interference problem by utilizing artificial pattern projection. The system generates up to 2K resolution depth data and reaches up to 256 disparity range which are configurable by the end-user owing to its parameterized design. It is capable of streaming depth data with 21 frames per second (fps) with 2K resolution and 128 pixel disparity range, and its throughput performance changes depending on configuration of the output resolution and the disparity range.

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Real-Time Textureless-Region Tolerant High-Resolution Depth Estimation System

Demir

Thiran

Leblebici

2019

2019 22nd Euromicro Conference on Digital System Design (DSD)

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Belief propagation and self-adaptive voting dense stereo disparity estimation for textureless scene 3D Reconstruction

Cited by 1 publication

References 10 publications

Real-Time Textureless-Region Tolerant High-Resolution Depth Estimation System

Real-Time Textureless-Region Tolerant High-Resolution Depth Estimation System

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