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Proceedings Paper

A multi-resolution multi-size-windows disparity estimation approach
Author(s): Judit Martinez Bauza; Manish Shiralkar
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Paper Abstract

This paper describes an algorithm for estimating the disparity between 2 images of a stereo pair. The disparity is related to the depth of the objects in the scene. Being able to obtain the depth of the objects in the scene is useful in many applications such as virtual reality, 3D user interfaces, background-foreground segmentation, or depth-image-based synthesis. This last application has motivated the proposed algorithm as part of a system that estimates disparities from a stereo pair and synthesizes new views. Synthesizing virtual views enables the post-processing of 3D content to adapt to user preferences or viewing conditions, as well as enabling the interface with multi-view auto-stereoscopic displays. The proposed algorithm has been designed to fulfill the following constraints: (a) low memory requirements, (b) local and parallelizable processing, and (c) adaptability to a sudden reduction in processing resources. Our solution uses a multi-resolution multi-size-windows approach, implemented as a line-independent process, well-suited for GPU implementation. The multi-resolution approach provides adaptability to sudden reduction in processing capabilities, besides computational advantages; the windows-based image processing algorithm guarantees low-memory requirements and local processing.

Paper Details

Date Published: 15 February 2011
PDF: 9 pages
Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630A (15 February 2011); doi: 10.1117/12.872241
Show Author Affiliations
Judit Martinez Bauza, Qualcomm Inc. (United States)
Manish Shiralkar, Clemson Univ. (United States)


Published in SPIE Proceedings Vol. 7863:
Stereoscopic Displays and Applications XXII
Andrew J. Woods; Nicolas S. Holliman; Neil A. Dodgson, Editor(s)

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