Robust spatiotemporal stereo against image motion and temporal disparity variation

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When there exists camera motion as well as scene motion, the position and disparity of a pixel in an image sequence temporally vary with time. Such image motion (IM) and temporal disparity variation (TDV) degrade the performance of spatiotemporal stereo matching. In this Letter, a robust spatiotemporal similarity measure that addresses IM and TDV is proposed. To this end, an irregular spatiotemporal window whose temporal windows are located by a TDV value and optical flows is designed. In addition, a spatiotemporal guided filter-based aggregation technique using temporal weights based on temporal proximity and flow reliability is presented. To handle a large number of labels effectively, a search range reduction method for finding a probable label set is presented. Experimental results show that the proposed method yields consistent and accurate disparity maps under IM and TDV.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2016-04
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.52, no.7, pp.515 - 517

ISSN
0013-5194
DOI
10.1049/el.2015.4026
URI
http://hdl.handle.net/10203/241175
Appears in Collection
ME-Journal Papers(저널논문)
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