Inferring Temporal Order of Images From 3D Structure

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Title: Inferring Temporal Order of Images From 3D Structure
Author: Schindler, Grant ; Dellaert, Frank ; Kang, Sing Bing
Abstract: In this paper, we describe a technique to temporally sort a collection of photos that span many years. By reasoning about persistence of visible structures, we show how this sorting task can be formulated as a constraint satisfaction problem (CSP). Casting this problem as a CSP allows us to efficiently find a suitable ordering of the images despite the large size of the solution space (factorial in the number of images) and the presence of occlusions. We present experimental results for photographs of a city acquired over a one hundred year period.
Description: ©2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Presented at the 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 17-22 June 2007, Minneapolis, MN. DOI: 10.1109/CVPR.2007.383088
Type: Post-print
ISSN: 1063-6919
Citation: Schindler, G., Dellaert, F., Kang, S.B., (2007). “Inferring Temporal Order of Images From 3D Structure". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), 17-22 June 2007, 1-7.
Date: 2007-06
Contributor: Georgia Institute of Technology. Center for Robotics and Intelligent Machines
Georgia Institute of Technology. College of Computing
Publisher: Georgia Institute of Technology
Institute of Electrical and Electronics Engineers
Subject: Constraint satisfaction problem (CSP)
Structure from motion
3D Structure

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