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Issue No.05 - September/October (2007 vol.27)
pp: 68-78
Daniel G. Aliaga , Purdue University
Yi Xu , Purdue University
Voicu Popescu , Purdue University
The authors propose a family of occlusion-resistant camera (ORC) designs for acquiring active environments despite the presence of moving interfering occluders. Capturing images in an in-use environment increases acquisition efficiency and quality without having to close off the targeted site. The authors' cameras explicitly remove interfering dynamic occluders from acquired data in real-time and during live capture. The key idea is to capture the scene at least twice from each viewpoint as the camera moves continually to sweep the scene and sample all surfaces. The approach creates a single portable device combining the benefits of a stationary camera, which detects moving interfering occluders by image differencing, with those of a dynamic camera, which achieves scene coverage for inside-looking-out modeling. The authors describe their family of designs that progressively trades complexity for stricter camera orientation constraints, analyze their performance, and present a first ORC implementation.
acquisition, dynamic, occlusions, automatic, background, light fields
Daniel G. Aliaga, Yi Xu, Voicu Popescu, "Occlusion-Resistant Camera Design for Acquiring Active Environments", IEEE Computer Graphics and Applications, vol.27, no. 5, pp. 68-78, September/October 2007, doi:10.1109/MCG.2007.132
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