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Abstract: Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape errors, however, reduce the accuracy of this kind of motion estimation considerably. In this paper, model-based motion estimation is combined with simultaneous object shape refinement. A deformable 3-D shape model of low dimensionality is employed to approximate the object shape. Camera position and orientation for all... (Update)
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BibTeX entry: (Update)
@misc{ steinbach-modelbased,
author = "Eckehard G. Steinbach and Peter Eisert and Bernd Girod",
title = "Model-based 3-D Shape and Motion Estimation Using Sliding Textures",
url = "citeseer.ist.psu.edu/490407.html" }
Citations (may not include all citations):695 Robot Vision (context) - Horn - 1986
454 A Versatile Camera Calibration Technique for High-Accuracy 3.. (context) - Tsai - 1987
99 Recovery of Nonrigid Motion and Structure (context) - Pentland, Horowitz - 1991
77 Dynamic 3D Models with Local and Global Deformations: Deform.. (context) - Terzopoulos, Metaxas - 1991
57 The Integration of Optical Flow and Deformable Models with A.. (context) - DeCarlo, Metaxas - 1996
49 3-D Motion Estimation in Model-Based Facial Image Coding (context) - Li, Roivainen et al. - 1993
26 Dynamic 3-D Scene Analysis through Synthesis Feedback Contro.. (context) - Koch - 1993
6 Automatic Reconstruction of 3-D Stationary Objects from Mult.. (context) - Eisert, Steinbach et al. - 2000
3 The sfb 603 - model based analysis and visualization of comp.. (context) - Niemann, Girod et al. - 1998
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