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Proceedings Paper

Multiview ToF sensor fusion technique for high-quality depth map
Author(s): Deukhyeon Kim; Jinwook Choi; Kwanghoon Sohn
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Paper Abstract

The Time-of-Flight (ToF) sensor has been widely used in computer vision fields since it can provide depth information in real time. However, the depth map obtained from ToF sensor is distressed with error, and has a lower resolution than general cameras. In this paper, we propose a novel framework to fuse and upsample multi-view depth maps obtained from multiple ToF sensors. The proposed method can be robust to the camera calibration error and effectively applied to the Multi-view Video plus Depth (MVD) system. For that, we perform depth balancing and confidence map based multi-view depth fusion. The depth balancing adjusts the distribution of depth values between multiple ToF sensors. It can provide a coherent depth for the corresponding points between depth maps. Confidence map based multi-view depth fusion technique can restore the depth acquisition error and align multiple depth maps well with the corresponding color image by using only reliable depth values. Experimental results show that the proposed method using multiple ToF sensors is superior to the conventional method based on the 2D-plus-depth system consisting of one color camera and one depth sensor.

Paper Details

Date Published: 12 March 2013
PDF: 7 pages
Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 865006 (12 March 2013); doi: 10.1117/12.2001733
Show Author Affiliations
Deukhyeon Kim, Yonsei Univ. (Korea, Republic of)
Jinwook Choi, Yonsei Univ. (Korea, Republic of)
Kwanghoon Sohn, Yonsei Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8650:
Three-Dimensional Image Processing (3DIP) and Applications 2013
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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