NDLI: Incremental 3D reconstruction using affine invariance in stereo image

Content Provider	IEEE Xplore Digital Library
Author	Saidani, M. Ghorbel, F.
Copyright Year	2012
Description	Author affiliation: CRISTAL laboratory GRIFT research group, National School of Computer Sciences, Manouba university, Tunisia (Saidani, M.; Ghorbel, F.)
Abstract	The need for mapping small objects in such areas as museum collections may be met by using laser scanning techniques which are likely the best and the most reliable. However, the costs associated with these techniques prohibit their use apart from that such objects are too fragile for repeated handling. Therefore, the alternative is the use of passive methods like stereovision. In this paper we presents a contribution to the problem of 3D surface reconstruction under affine projections in stereo image. Method starts by using the affine invariance to caracterize shape on the objects contours. Such approximation is interesting if we consider small objects regards to the distance from sensors. Additionally, a methodology to estimate the affine transformation that best aligns the matched contours is also presented: a scale factor a, a shift value lo and an affinity matrix A are computed to establish a local matching of points that preserves the circular order of points. In order to validate the proposed matching methodology, some results on stereovision context are exposed with scene containing small archeological 3D objects.
Starting Page	892
Ending Page	894
File Size	1764399
Page Count	3
File Format	PDF
ISBN	9781467307826
ISSN	21588473
e-ISBN	9781467307840
DOI	10.1109/MELCON.2012.6196572
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three dimensional displays Image reconstruction Stereo image processing Cameras Shape Surface reconstruction Surface treatment
Content Type	Text
Resource Type	Article

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