Linear-Time Computation of Indexing Based Stereo Correspondence for Cameras with Automatic Gain Control

This paper is a contribution on the field of passive sparse stereo vision, specially for mobile robots navigation. A linear-time computing stereo matching algorithm based on indexing is discussed and improved for cameras with automatic gain control. Integral images and changes on data structures are...

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Bibliographic Details
Published in:Journal of signal processing systems 2018, Vol.90 (1), p.157-164
Main Authors: Junior, Vilson Heck, Stivanello, Maurício E., Stemmer, Marcelo R.
Format: Article
Language:English
Subjects:
Automatic control
Automatic gain control
Cameras
Circuits and Systems
Computer Imaging
Computing time
Data structures
Electrical Engineering
Engineering
Image Processing and Computer Vision
Indexing
Pattern Recognition
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
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Summary:This paper is a contribution on the field of passive sparse stereo vision, specially for mobile robots navigation. A linear-time computing stereo matching algorithm based on indexing is discussed and improved for cameras with automatic gain control. Integral images and changes on data structures are used to achieve the goals. The method is evaluated by quantitative results utilizing Middlebury stereo datasets and it is able to achieve near 15 fps on a single thread process running on a Intel Ⓡ Core™ i7 without any SIMD use.
ISSN:1939-8018
1939-8115
DOI:10.1007/s11265-017-1228-8