Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.970
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.
Yue Qi, Fei Hou, "Quick Reconstruction of Cameras and Quasi-dense Geometry from Unordered Photos", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 366-370, doi:10.1109/CSIE.2009.970