Structure and motion from scene registration
Name
Matusik_Structure and.pdf
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5.57 MB
Format
Adobe PDF
Checksum (MD5)
0dd9b5118339ec48ba50d36f21e64a5d
Author(s)
Basha, Tali
Avidan, Shai
Hornung, Alexander
Matusik, Wojciech
Date Issued
June 2012
Journal
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Basha, T., S. Avidan, A. Hornung, and W. Matusik. “Structure and Motion from Scene Registration.” 2012 IEEE Conference on Computer Vision and Pattern Recognition (June 2012).
Version
Author's final manuscript
Abstract
We propose a method for estimating the 3D structure and the dense 3D motion (scene flow) of a dynamic nonrigid 3D scene, using a camera array. The core idea is to use a dense multi-camera array to construct a novel, dense 3D volumetric representation of the 3D space where each voxel holds an estimated intensity value and a confidence measure of this value. The problem of 3D structure and 3D motion estimation of a scene is thus reduced to a nonrigid registration of two volumes - hence the term ”Scene Registration”. Registering two dense 3D scalar volumes does not require recovering the 3D structure of the scene as a preprocessing step, nor does it require explicit reasoning about occlusions. From this nonrigid registration we accurately extract the 3D scene flow and the 3D structure of the scene, and successfully recover the sharp discontinuities in both time and space. We demonstrate the advantages of our method on a number of challenging synthetic and real data sets.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR.2012.6247830
