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Collaborative rephotography

Published: 21 July 2013 Publication History

Abstract

Rephotography is the process of capturing the same scene at a different time, in order to capture changes. Previous work at SIGGRAPH [BAE2010] demonstrated the ability for smart-phone apps to guide a user to the correct viewpoint, here we promote the use of such tools distributed widely over space and time, by enabling collaborative projects that allow multiple users to re-photograph multiple sites over time. These sites may be architectural, social, urban scenes or ecological. Current projects utilizing our mobile tools range from nation-scale rephotography of scenic overlooks, to monitoring of urban street trees in NYC by local conservancy group volunteers. Rephotography directly connects pictures at one time to pictures at another time. It also connects a photographer at one time to a photographer at another time, by providing a mechanism to collaboratively record the story of how our world changes.

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Reference

[1]
Bae S., Agarwala A., Durand F.: Computational rephotography. ACM TOG 29, 3 (2010), 24:1--24:15

Cited By

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  • (2022)Heritage and Repeat Photography: Techniques, Management, Applications, and PublicationsHeritage10.3390/heritage50402205:4(4267-4305)Online publication date: 18-Dec-2022
  • (2021)Single Image Façade Segmentation and Computational Rephotography of House Images Using Deep LearningJournal on Computing and Cultural Heritage 10.1145/346101414:4(1-17)Online publication date: 20-Aug-2021
  • (2021)Graph Matching Based Robust Line Segment Correspondence for Active Camera RelocalizationPattern Recognition and Computer Vision10.1007/978-3-030-88007-1_19(228-238)Online publication date: 22-Oct-2021
  • Show More Cited By

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cover image ACM Conferences
SIGGRAPH '13: ACM SIGGRAPH 2013 Studio Talks
July 2013
23 pages
ISBN:9781450323437
DOI:10.1145/2503673
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2013

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Cited By

View all
  • (2022)Heritage and Repeat Photography: Techniques, Management, Applications, and PublicationsHeritage10.3390/heritage50402205:4(4267-4305)Online publication date: 18-Dec-2022
  • (2021)Single Image Façade Segmentation and Computational Rephotography of House Images Using Deep LearningJournal on Computing and Cultural Heritage 10.1145/346101414:4(1-17)Online publication date: 20-Aug-2021
  • (2021)Graph Matching Based Robust Line Segment Correspondence for Active Camera RelocalizationPattern Recognition and Computer Vision10.1007/978-3-030-88007-1_19(228-238)Online publication date: 22-Oct-2021
  • (2019)Active Camera Relocalization from a Single Reference Image without Hand-Eye CalibrationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2018.287064641:12(2791-2806)Online publication date: 1-Dec-2019
  • (2018)Fast and Reliable Computational Rephotography on Mobile Device2018 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2018.8486559(1-6)Online publication date: Jul-2018
  • (2016)6D Dynamic Camera Relocalization from Single Reference Image2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR.2016.439(4049-4057)Online publication date: Jun-2016

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