NDLI: Evolutionary-based 3D reconstruction using an uncalibrated stereovision system: application of building a panoramic object view

Content Provider	Springer Nature Link
Author	Koch, Alain Dipanda, Albert Bourgeois République, Claire
Copyright Year	2010
Abstract	In this paper, we propose an original evolutionary-based method for 3D panoramic reconstruction from an uncalibrated stereovision system (USS). The USS is composed of five cameras located on an arc of a circle around the object to be analyzed. The main originality of this work concerns the process of the calculation of the 3D information. Actually, with our method, 3D coordinates are directly obtained without any prior estimation of the fundamental matrix. The method operates in two steps. Firstly, points of interest are detected in pairs of images acquired by two consecutive cameras of the USS are matched. And secondly, using evolutionary algorithms, we jointly compute the transformed matrix between the two images and the respective depth of the points of interest. The accuracy of the proposed method is validated through a comparison with the depth values obtained using a traditional method. In order to perform 3D panoramic object reconstruction, the process is repeated for all the pairs of consecutive cameras. The 3D points thus obtained throughout the successive steps of the process which correspond to the different points of interest, are combined in order to obtain a set of 3D points all around the analyzed object.
Starting Page	565
Ending Page	586
Page Count	22
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	57
Issue Number	3
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2010-12-14
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Panoramic 3D reconstruction Evolutionary algorithm Uncalibrated system Special Purpose and Application-Based Systems Data Structures, Cryptology and Information Theory Computer Communication Networks Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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