@inproceedings{f9125a726c4a40b1ba6f4097c61a9cf1,
title = "Repairing IR depth image with 2D RGB image",
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.",
keywords = "3D-image, Holistically-Nested Edge Detection method, IR noise, RGB image, RGBD image, depth image complementation, depth information loss, iterative low-pass pervasion",
author = "Yu, {Yeh Wei} and Wang, {Tzu Kai} and Lau, {Chi Chung} and Wang, {Jia Ching} and Yang, {Tsung Hsun} and Chern, {Jann Long} and Sun, {Ching Cherng}",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; 19th Conference on Current Developments in Lens Design and Optical Engineering 2018 ; Conference date: 21-08-2018 Through 22-08-2018",
year = "2018",
doi = "10.1117/12.2321205",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Johnson, {R. Barry} and Simon Thibault and Mahajan, {Virendra N.}",
booktitle = "Current Developments in Lens Design and Optical Engineering XIX",
}