NDLI: A linear model for simultaneous estimation of 3D motion and depth

Content Provider	IEEE Xplore Digital Library
Author	Scharr, H. Kusters, R.
Copyright Year	2002
Description	Author affiliation: Inst. for Chem. & Dynamics of the Geosphere, Forschungszentrum Julich GmbH, Germany (Scharr, H.; Kusters, R.)
Abstract	A novel model for simultaneous estimation of full 3D motion and 3D position in world coordinates from multi camera sequences is presented. To this end scene flow (see Vedula, S. et al., ICCV 1999, p.722-9, 1999) and disparity are estimated in a single estimation step. The key idea is to interpret sequences of 2 or more cameras as one 4D data set. In this 4D space, a given motion model, a camera model and a brightness change model are combined into a brightness change constraint equation (BCCE) combining changes due to object motion and different camera positions. The estimation of parameters in this constraint equation is demonstrated using a weighted total least squares estimator, called structure tensor. An evaluation of systematic errors and noise stability for a 5 camera setup is shown as well as results on synthetic sequences with ground truth and data acquired under controlled laboratory conditions.
Sponsorship	IEEE Comput. Soc
Starting Page	220
Ending Page	225
File Size	446452
Page Count	6
File Format	PDF
ISBN	0769518605
DOI	10.1109/MOTION.2002.1182240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Tensile stress Stability Motion estimation Brightness Layout Differential equations Cameras Error correction Least squares approximation
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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