DocumentCode :
1543210
Title :
Multimodal Stereo Vision System: 3D Data Extraction and Algorithm Evaluation
Author :
Campo, Fernando Barrera ; Ruiz, Felipe Lumbreras ; Sappa, Angel Domingo
Author_Institution :
Computer Vision Center, Bellaterra, Barcelona, Spain
Volume :
6
Issue :
5
fYear :
2012
Firstpage :
437
Lastpage :
446
Abstract :
This paper proposes an imaging system for computing sparse depth maps from multispectral images. A special stereo head consisting of an infrared and a color camera defines the proposed multimodal acquisition system. The cameras are rigidly attached so that their image planes are parallel. Details about the calibration and image rectification procedure are provided. Sparse disparity maps are obtained by the combined use of mutual information enriched with gradient information. The proposed approach is evaluated using a Receiver Operating Characteristics curve. Furthermore, a multispectral dataset, color and infrared images, together with their corresponding ground truth disparity maps, is generated and used as a test bed. Experimental results in real outdoor scenarios are provided showing its viability and that the proposed approach is not restricted to a specific domain.
Keywords :
Calibration; Cameras; Head; Image color analysis; Mutual information; Stereo vision; Three dimensional displays; Color and infrared images; multimodal stereo rig; sparse 3D maps;
fLanguage :
English
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
Publisher :
ieee
ISSN :
1932-4553
Type :
jour
DOI :
10.1109/JSTSP.2012.2204036
Filename :
6220232
Link To Document :
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