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Proceedings Paper

Superpixel-based depth image super-resolution
Author(s): Yongseok Soh; Jae-Young Sim; Chang-Su Kim; Sang-Uk Lee
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Paper Abstract

Due to the development of depth sensors, such as time-of-flight (ToF) cameras, it becomes easier to acquire depth information directly from a scene. Although such devices enable us to obtain depth maps at video frame rates, the depth maps often have low resolutions only. A typical ToF camera retrieves depth maps of resolution 320 x 200, which is much lower than the resolutions of high definition color images. In this work, we propose a depth image super-resolution algorithm, which operates robustly even when there is a large resolution gap between a depth image and a reference color image. To prevent edge smoothing artifacts, which are the main drawback of conventional techniques, we adopt a superpixel-based approach and develop an edge enhancing scheme. Simulation results demonstrate that the proposed algorithm aligns the edges of a depth map to accurately coincide with those of a high resolution color image.

Paper Details

Date Published: 30 January 2012
PDF: 10 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82900D (30 January 2012); doi: 10.1117/12.909848
Show Author Affiliations
Yongseok Soh, Seoul National Univ. (Korea, Republic of)
Jae-Young Sim, Ulsan National Institute of Science and Technology (Korea, Republic of)
Chang-Su Kim, Korea Univ. (Korea, Republic of)
Sang-Uk Lee, Seoul National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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