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Abstract: In this paper we investigate how the temporal evolution of image point correspondences over multiple frames can be exploited for 3D motion and structure estimation. In comparison to other multi-frame approaches we do not separate the establishment of feature point correspondences and the 3D motion parameter computation. As a result our approach does not suffer from the limitations of the traditional two step approaches where even small errors in point correspondences can lead to large errors in ... (Update)
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BibTeX entry: (Update)
@inproceedings{ steinbach97datadriven,
author = "Eeckehard G. Steinbach and S. Chaudhuri and Bernd Girod",
title = "Data-Driven Multi-Frame 3D Motion Estimation",
booktitle = "{ICIP} (1)",
pages = "464-467",
year = "1997",
url = "citeseer.ist.psu.edu/740423.html" }
Citations (may not include all citations):151 Uniqueness and Estimation of Three-dimensional Motion Parame.. (context) - Tsai, Huang - 1984
123 the Computation of Motion from Sequences of Images - A Revie.. (context) - Aggarwal, Nandhakumar - 1988
81 Optimal Motion and Structure Estimation (context) - Weng, Ahuja et al. - 1993
60 Finding Trajectories of Feature Points in a Monocular Image .. (context) - Sethi, Jain - 1987
23 Feature Point Correspondence in the Presence of Occlusion (context) - Salari, Sethi - 1990
6 Recursive Estimation of Motion Parameters (context) - Chaudhuri, Sharma et al. - 1996
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3 Surface Representation through Sequential Tracking (context) - Baker - 1988
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