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2009 WRI World Congress on Computer Science and Information Engineering
Quick Reconstruction of Cameras and Quasi-dense Geometry from Unordered Photos
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
This paper presents a novel approach to quick reconstruction of cameras and quasi-dense geometry from unordered photos of a scene. With three reconstruction goals: reliable camera postures, high-density scene geometry, and a low cost of time, our approach consists of two stages: pairwise relating and two-tier reconstruction. At the first stage, to obtain better putative matches, we impose bidirectional feature matching and disparity constraint; to achieve better normalization, we perform approximate self-calibration using EXIF tag. The second stage includes a sparse and a quasi-dense reconstruction with different pivot respectively, adding selection strategies to avoid degenerate cases and improve time efficiency.
Citation:
Shuang He, Yue Qi, Fei Hou, "Quick Reconstruction of Cameras and Quasi-dense Geometry from Unordered Photos," csie, vol. 6, pp.366-370, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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