Stereo Depth Mapping via Axis-Aligned Warping

Bing Li, Chia Wen Lin, Shan Liu, C. C.Jay Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Viewing various stereo images under different viewing conditions has escalated the need for efficient and effective depth mapping techniques for adjusting the depths and sizes of objects to match user preference. Existing methods mainly alter the depth of an object through non-uniform region warping, which, however, often cause severe depth or shape distortions, due to improper warping such as local rotations. In this paper, we propose a new object depth mapping scheme based on axis-aligned warping. The proposed axis-aligned-warping based optimization model can simultaneously adjust the depths and sizes of selected objects to their target values without introducing severe shape distortions. Experimental results demonstrate that our method achieves high flexibility and effectiveness in adjusting the size and depth of object compared with existing methods.
Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
PublisherIEEE Computer Societyhelp@computer.org
Pages4305-4309
Number of pages5
ISBN (Print)9781538662496
DOIs
StatePublished - Sep 1 2019
Externally publishedYes

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