NDLI: Adaptive support weight aggregation in segmentationsfor stereo matching

Content Provider	IEEE Xplore Digital Library
Author	Jingzhou Huang Changyu Diao
Copyright Year	2015
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China (Jingzhou Huang; Changyu Diao)
Abstract	Computing the dissimilarity between the central pixel and other pixels within the support window and determining the size and shape of the support window are core ideas of the adaptive support weight approach in local methods of stereo matching. In this paper we focus on the latter issue and propose a new strategy to find that window. First, the reference image is segmented into a set of irregular regions; second, for each pixel, the support weight and aggregation is calculated within the segmentation it belongs to; third, all disparities are selected by winner take all strategy. Through the segmentation technique, the proposed approach implements an adaptive support window without the size and shape limitation. Experiment results based on the Middlebury benchmark show that, compared with the original approach, the new approach effectively improves the accuracy of result disparity maps.
Starting Page	292
Ending Page	296
File Size	841098
Page Count	5
File Format	PDF
ISBN	9781479918188
e-ISBN	9781479918195
DOI	10.1109/ICCACS.2015.7361369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Image segmentation Shape Image color analysis Error analysis Segmentation Stereo matching Color Adaptive support weight Computational efficiency Aggregation window
Content Type	Text
Resource Type	Article

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