Title: Sparse Bundle Adjustment Speedup Strategies
Authors: Lipski, Christian
Bose, Denis
Eisemann, Martin
Berger, Kai
Magnor, Marcus
Citation: WSCG 2010: Communication Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 85-88.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf
ISBN: 978-80-86943-87-9
Keywords: kalibrace kamery;zdokonalení rekonstrukce bodů a poloh kamer
Keywords in different language: camera calibration;sparse bundle adjustment
Abstract: Over the past years, Structure-from-Motion calibration algorithms have become widely popular for many applications in computer graphics. From an unordered set of photographs, they manage to robustly estimate intrinsic and extrinsic camera parameters for each image. One major drawback is the quadratic computation time of existing algorithms. This paper presents different strategies to overcome this problem by only working on subsets of images and merging the results. A quantitative comparison of these strategies reveals the trade-off between accuracy and computation time.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Communication Papers Proceedings

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