(Enter summary)
Abstract: The literature on recursive estimation of structure and motion from monocular image
sequences comprises a large number of different models and estimation techniques.
We propose a framework that allows us to derive and compare all models by following
the idea of dynamical system reduction.
The "natural" dynamic model, derived by the rigidity constraint and the perspective
projection, is first reduced by explicitly decoupling structure (depth) from motion.
Then implicit decoupling techniques are... (Update)
Context of citations to this paper: More
.... squares bundle adjustment [10, 12] using Levenburg Marquadt (LM) to recursive methods using the extended Kalman filtering (EKF) [6, 11, 1, 3, 5] to linear methods on a few frames [4, 2, 9] Bundle adjustment is the process of iteratively adjusting the camera poses and point...
.... of structure from motion, a field that encompasses a vast variety of research efforts, such as [1, 3, 5, 9, 10, 12, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 28, 29, 31]. Of all the work in SFM, we consider in particular causal estimation algorithms. A batch approach would...
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BibTeX entry: (Update)
S. Soatto, P. Perona, "Reducing structure from motion: a general framework for dynamic vision Part 2: Implementation and experimental assessment", IEEE Trans. Pattern Analysis and Machine Intelligence, 20(9), pp. 943-960, Sept. 1998. http://citeseer.ist.psu.edu/soatto98reducing.html More
@article{ soatto98reducing,
author = "Stefano Soatto and Pietro Perona",
title = "Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
volume = "20",
number = "9",
pages = "943-960",
year = "1998",
url = "citeseer.ist.psu.edu/soatto98reducing.html" }
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Documents on the same site (http://hrl.harvard.edu/people/postdocs/soatto/applications/publications.html): More
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