DocumentCode :
3014797
Title :
Inferring Temporal Order of Images From 3D Structure
Author :
Schindler, Grant ; Dellaert, Frank ; Kang, Sing Bing
Author_Institution :
Georgia Inst. of Technol., Atlanta
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
7
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.
Keywords :
computer vision; image motion analysis; image segmentation; sorting; 3D structure; constraint satisfaction problem; inferring temporal order; occlusions; photos collection; sorting task; Buildings; Cameras; Casting; Cities and towns; Context modeling; Image reconstruction; Layout; Organizing; Sorting; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383088
Filename :
4270113
Link To Document :
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