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Workshop on Motion and Video Computing (MOTION'02)
A Linear Model for Simultaneous Estimation of 3D Motion and Depth
Orlando, Florida
December 05-December 06
ISBN: 0-7695-1860-5
| ASCII Text | x | ||
| Hanno Scharr, Ralf Küsters, "A Linear Model for Simultaneous Estimation of 3D Motion and Depth," Motion and Video Computing, IEEE Workshop on, pp. 220, Workshop on Motion and Video Computing (MOTION'02), 2002. | |||
| BibTex | x | ||
| @article{ 10.1109/MOTION.2002.1182240, author = {Hanno Scharr and Ralf Küsters}, title = {A Linear Model for Simultaneous Estimation of 3D Motion and Depth}, journal ={Motion and Video Computing, IEEE Workshop on}, volume = {0}, year = {2002}, isbn = {0-7695-1860-5}, pages = {220}, doi = {http://doi.ieeecomputersociety.org/10.1109/MOTION.2002.1182240}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Motion and Video Computing, IEEE Workshop on TI - A Linear Model for Simultaneous Estimation of 3D Motion and Depth SN - 0-7695-1860-5 SP EP A1 - Hanno Scharr, A1 - Ralf Küsters, PY - 2002 KW - optical flow KW - scene flow KW - multiple cameras KW - disparity KW - depth KW - 3D motion VL - 0 JA - Motion and Video Computing, IEEE Workshop on ER - | |||
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 [29 ]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.
Index Terms:
optical flow, scene flow, multiple cameras, disparity, depth, 3D motion
Citation:
Hanno Scharr, Ralf Küsters, "A Linear Model for Simultaneous Estimation of 3D Motion and Depth," motion, pp.220, Workshop on Motion and Video Computing (MOTION'02), 2002
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