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Issue No.01 - January/February (2011 vol.31)
pp: 74-84
Cheuk Yiu Ip , University of Maryland, College Park
Sujal Bista , University of Maryland, College Park
Amitabh Varshney , University of Maryland, College Park
ABSTRACT
Social Snapshot is a system for temporally coupled social photography. It leverages computer graphics and computer vision advances, along with the ubiquity of consumer-level programmable cell phone cameras, to actively acquire time-varying spatial data. Social Snapshot enables spatiotemporal 3D photography using commodity devices, assisted by their auxiliary sensors and network functionality. The end result is a set of locally optimized 2.5D meshes—one for each input photograph—created with a novel mesh generation technique. Although these models could be globally inconsistent, the navigation model uses the recovered camera-pose information and view interpolation techniques to smoothly navigate the reconstruction interactively.
INDEX TERMS
Social Snapshot, social photography, computer graphics, computer vision, spatial data, 3D photography, 2.5D mesh, graphics and multimedia
CITATION
Cheuk Yiu Ip, Sujal Bista, Amitabh Varshney, "Social Snapshot: A System for Temporally Coupled Social Photography", IEEE Computer Graphics and Applications, vol.31, no. 1, pp. 74-84, January/February 2011, doi:10.1109/MCG.2010.107
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4. Y. Furukawa and J. Ponce, "Accurate, Dense, and Robust Multi-view Stereopsis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 8, 2010, pp. 1362–1376.
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