Paper
2 November 2018 Repairing IR depth image with 2D RGB image
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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KEYWORDS
Infrared imaging

RGB color model

Image processing

Edge detection

Clouds

Light

Image resolution

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