Paper Title:
Automatic Detection of Illuminant Reflection in Indoor Vision-Based Navigation
  Abstract

Vision for navigation had been an active area of research for more than three decades, and a vision-based navigation system always needs real-time image collecting and processing to acquire navigation information. In the indoor scenarios, illuminant reflection is often found in navigation images because of smooth surfaces in the environment, such as marble floor, planes of furniture and etc. The negative effect of illuminant reflection in navigation images is obvious and might lower the performance of the navigation system, As to resolve the above problem, the issue of how to detect illuminant reflection should be considered, This paper proposed an automatic detection algorithm to segment illuminant reflection regions in a color image using saturation and brightness characteristics as well as the brightness distribution of the illuminant reflective regions. As to verify the robustness and accuracy of this algorithm, experiments were carried out in different indoor environments where illuminant reflection is found in navigation images, the experiments results we obtained indicated that this algorithm is sufficient to handle the problem with providing good detection results as expected.

  Info
Periodical
Advanced Materials Research (Volumes 301-303)
Chapter
Chapter 1: Material Science and Technology
Edited by
Riza Esa and Yanwen Wu
Pages
201-207
DOI
10.4028/www.scientific.net/AMR.301-303.201
Citation
S. B. Wang, J. M. Wang, X. Wang, L. Ma, R. Z. Dou, Y. Leng, "Automatic Detection of Illuminant Reflection in Indoor Vision-Based Navigation", Advanced Materials Research, Vols. 301-303, pp. 201-207, 2011
Online since
July 2011
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Price
$32.00
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