NDLI: A fast segmentation-driven algorithm for accurate stereo correspondence

Content Provider	IEEE Xplore Digital Library
Author	Mattoccia, S. De-Maeztu, L.
Copyright Year	2011
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Public Univ. of Navarre, Pamplona, Spain (De-Maeztu, L.) \|\| Dept. of Electron., Comput. Sci. & Syst., Univ. of Bologna, Bologna, Italy (Mattoccia, S.)
Abstract	Recent cost aggregation strategies that adapt their weights to image content enabled local algorithms to obtain results comparable to those of global algorithms based on more complex disparity optimization methods. Unfortunately, despite the potential advantages in terms of memory footprint and algorithmic simplicity compared to global algorithms, most of the state-of-the-art cost aggregation strategies deployed in local algorithms are extremely slow. In fact, their execution time is comparable and often worse than those of global approaches. In this paper we propose a framework for accurate and fast cost aggregation based on segmentation that allows us to obtain results comparable to state-of-the-art approaches much more efficiently (the execution time drops from minutes to seconds). A further speed-up is achieved taking advantage of multi-core capabilities available nowadays in almost any processor. The comparison with state-of-the-art cost aggregation strategies highlights the effectiveness of our proposal.
Starting Page	1
Ending Page	6
File Size	1074961
Page Count	6
File Format	PDF
ISBN	9781479915774
e-ISBN	9781479915798
DOI	10.1109/IC3D.2011.6584384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Local algorithms Cost aggregation Segmentation Venus Abstracts Stereo vision Indexes Adaptive weights Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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