NDLI: A stereo image matching method on images with varying light conditions

Content Provider	IEEE Xplore Digital Library
Author	Pramote, On-uma Piamsa-nga, Punpiti
Copyright Year	2015
Description	Author affiliation: Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Chatujak, Bangkok, 10900, Thailand (Pramote, On-uma; Piamsa-nga, Punpiti)
Abstract	In the process of 3D regeneration from stereo images, a disparity map can be determined by matching the same objects on the stereo image pair. However, different light conditions of an image pair, such as exposure, illumination, and illuminant color, usually compromise the accuracy of matching. This usually occurs when taking outdoor images. In this paper, we propose a preprocessing method to improve condition of image to build disparity map with less effect from varying light conditions. Stereo images from the Middlebury dataset is used to test our method. We used LogRGB algorithm as a baseline. Compared to the ground truth, experimental results show that our method performs the 3.02% RMS error and 4.0% percentage of bad matching while 3.47% RMS error and 6.9% bad matching for LogRGB.
Starting Page	1
Ending Page	6
File Size	864108
Page Count	6
File Format	PDF
e-ISBN	9781467378253
DOI	10.1109/ICSEC.2015.7401439
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms YCbCr Disparity map Correlation Histogram Processing Image color analysis Lighting Venus Adaptive equalizers Exposure Stereo vision Standards
Content Type	Text
Resource Type	Article

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