Repairing IR depth image with 2D RGB image

Yeh-Wei Yu; Tzu-Kai Wang; Chi-Chung Lau; Jia-Ching Wang; Tsung-Hsun Yang; Jann-Long Chern; Ching-Cherng Sun

doi:10.1117/12.2321205

2 November 2018 Repairing IR depth image with 2D RGB image

Yeh-Wei Yu, Tzu-Kai Wang, Chi-Chung Lau, Jia-Ching Wang, Tsung-Hsun Yang, Jann-Long Chern, Ching-Cherng Sun

Author Affiliations +

Proceedings Volume 10745, Current Developments in Lens Design and Optical Engineering XIX; 1074505 (2018) https://doi.org/10.1117/12.2321205
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

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.

Citation Download Citation

Yeh-Wei Yu, Tzu-Kai Wang, Chi-Chung Lau, Jia-Ching Wang, Tsung-Hsun Yang, Jann-Long Chern, and Ching-Cherng Sun "Repairing IR depth image with 2D RGB image", Proc. SPIE 10745, Current Developments in Lens Design and Optical Engineering XIX, 1074505 (2 November 2018); https://doi.org/10.1117/12.2321205

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE