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Proceedings Paper

Repairing IR depth image with 2D RGB image
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Paper Abstract

3D-image technologies produce RGBD images use 2D RGB image combing with depth image. The most popular depth imaging methods including structure light, time-of-flight, and stereoscopic image. Since no point cloud detection method can prevent depth information loss, the complement methods is therefore important. Therefore, we proposed depth information complement method, which use a novel iterative low-pass pervasion method to apply depth image pervasion. We make two experiments to demonstrate the idea. The first experiment induces strong IR noise to destroy parts of the depth image. Then we successfully complement the depth image by the proposed method. The second experiment demonstrates the complement performance of iterative low-pass pervasion method and shows good Accuracy and Precision.

Paper Details

Date Published: 2 November 2018
PDF: 5 pages
Proc. SPIE 10745, Current Developments in Lens Design and Optical Engineering XIX, 1074505 (2 November 2018); doi: 10.1117/12.2321205
Show Author Affiliations
Yeh-Wei Yu, National Central Univ. (Taiwan)
Tzu-Kai Wang, National Central Univ. (Taiwan)
Chi-Chung Lau, National Central Univ. (Taiwan)
Jia-Ching Wang, National Central Univ. (Taiwan)
Tsung-Hsun Yang, National Central Univ. (Taiwan)
Jann-Long Chern, National Central Univ. (Taiwan)
Ching-Cherng Sun, National Central Univ. (Taiwan)

Published in SPIE Proceedings Vol. 10745:
Current Developments in Lens Design and Optical Engineering XIX
R. Barry Johnson; Virendra N. Mahajan; Simon Thibault, Editor(s)

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