CrowdCam: Instantaneous Navigation of Crowd Images Using Angled Graph
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Raskar_CrowdCam.pdf
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5.62 MB
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Author(s)
Arpa, Aydin
Ballan, Luca
Sukthankar, Rahul
Taubin, Gabriel
Pollefeys, Marc
Raskar, Ramesh
Date Issued
June 2013
Journal
2013 International Conference on 3D Vision
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Arpa, Aydin, Luca Ballan, Rahul Sukthankar, Gabriel Taubin, Marc Pollefeys, and Ramesh Raskar. “CrowdCam: Instantaneous Navigation of Crowd Images Using Angled Graph.” 2013 International Conference on 3D Vision (June 2013), Seattle, Washington, USA, 29 June - 1 July 2013.
Version
Author's final manuscript
Abstract
We present a near real-time algorithm for interactively exploring a collectively captured moment without explicit 3D reconstruction. Our system favors immediacy and local coherency to global consistency. It is common to represent photos as vertices of a weighted graph, where edge weights measure similarity or distance between pairs of photos. We introduce Angled Graphs as a new data structure to organize collections of photos in a way that enables the construction of visually smooth paths. Weighted angled graphs extend weighted graphs with angles and angle weights which penalize turning along paths. As a result, locally straight paths can be computed by specifying a photo and a direction. The weighted angled graphs of photos used in this paper can be regarded as the result of discretizing the Riemannian geometry of the high dimensional manifold of all possible photos. Ultimately, our system enables everyday people to take advantage of each others' perspectives in order to create on-the-spot spatiotemporal visual experiences similar to the popular bullet-time sequence. We believe that this type of application will greatly enhance shared human experiences spanning from events as personal as parents watching their children's football game to highly publicized red carpet galas.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/3DV.2013.62
