Online feedback for structure-from-motion image acquisition

BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012

Volumn , Issue , 2012, Pages

  Hoppe, Christof ^a   Klopschitz, Manfred ^a   Rumpler, Markus ^a   Wendel, Andreas ^a   Kluckner, Stefan ^b   Bischof, Horst ^a   Reitmayr, Gerhard ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b SIEMENS AG ÖSTERREICH   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; OPTIMIZATION;

ACQUISITION PROCESS; CURRENT RECONSTRUCTION; GROUND SAMPLING DISTANCES; IMAGE REDUNDANCY; QUALITY INDICATORS; QUALITY MEASURES; RECONSTRUCTION QUALITY; STRUCTURE FROM MOTION;

IMAGE ACQUISITION;

EID: 84898403906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.26.70     Document Type: Conference Paper

References (25)

1. A.Zisserman and R. Hartley. Multi View Geometry, pages 101-109. Cambridge University Press, 2000.
2. J.-D. Boissonnat and M. Yvinec. Algorithmic Geometry. Cambridge University Press, Cambridge, U.K., 1998.
3. Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 23(11): 1222-1239, 2001.
4. M. A. Fischler and R. C. Bolles. Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography. Communication Association and Computing Machine, 24(6):381-395, 1981.
5. Y. Furukawa and J. Ponce. Accurate, dense, and robust multi-view stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 32(8):1362-1376, 2010.
6. M. Golparvar Fard, F. Peña-Mora, and S. Savarese. Monitoring changes of 3D building elements from unordered photo collections. In ICCVWorkshops, pages 249-256, 2011.
7. G. Graber, T. Pock, and H. Bischof. Online 3D reconstruction using convex optimization. In ICCV Workshops, pages 708-711. IEEE, 2011.
8. L. Gruber, S. Gauglitz, J. Ventura, S. Zollmann, M. Huber, M. Schlegel, G. Klinker, D. Schmalstieg, and T. Höllerer. The city of sights: Design, construction, and measurement of an augmented reality stage set. In Proc. Nineth IEEE International Symposium on Mixed and Augmented Reality (ISMAR'10), pages 157-163, Seoul, Korea, Oct. 13- 16 2010.
9. H. Hirschmuller. Accurate and efficient stereo processing by semi-global matching and mutual information. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 807-814, 2005.
10. C. Hoppe, A. Wendel, S. Zollmann, K. Pirker, A. Irschara, H. Bischof, and S. Kluckner. Photogrammetric camera network design for micro aerial vehicles. In Proc. 17th Computer Vision Winter Workshop (CVWW), February 2012.
11. A. Irschara, C. Zach, and H. Bischof. Towards wiki-based dense city modeling. In Workshop on Virtual Representations and Modeling of Large-scale environments (VRML), 2007.
12. A. Irschara, C. Zach, J. M. Frahm, and H. Bischof. From structure-from-motion point clouds to fast location recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
13. G. Klein and D.W. Murray. Parallel tracking and mapping for small AR workspaces. In IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pages 225-234. IEEE, 2007.
14. L. Kneip, D. Scaramuzza, and R. Siegwart. A novel parametrization of the perspectivethree- point problem for a direct computation of absolute camera position and orientation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
15. P. Labatut, J.P. Pons, and R. Keriven. Efficient multi-view reconstruction of large-scale scenes using interest points, delaunay triangulation and graph cuts. In International Conference on Computer Vision (ICCV), pages 1-8, 2007.
16. D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (IJVC), 60(2):91-110, 2004.
17. P. Mücke, R. Klowsky, and M. Goesele. Surface reconstruction from multi-resolution sample points. In Vision, Modeling, and Visualization (VMV 2011), pages 105-112, 2011.
18. A. R. Newcombe and A. J. Davison. Live dense reconstruction with a single moving camera. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1498-1505, 2010.
19. D. Nistér. An efficient solution to the five-point relative pose problem. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 195-202, 2003.
20. D. Nistér and H. Stewenius. Scalable recognition with a vocabulary tree. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2161-2168, 2006.
21. Q. Pan, G. Reitmayr, and T. Drummond. ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition. In Proc. 20th British Machine Vision Conference (BMVC), London, September 2009.
22. N. Snavely, S. M. Seitz, and R. S. Szeliski. Modeling the world from internet photo collections. International Journal of Computer Vision (IJVC), 80(2):189-210, November 2008.
23. B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon. Bundle adjustment - A modern synthesis. In Vision Algorithms: Theory and Practice, pages 298-375. 2000.
24. M. Trummer, C. Munkelt, and J. Denzler. Online next-best-view planning for accuracy optimization using an extended e-criterion. In International Conference on Pattern Recognition (ICPR), pages 1642-1645, 2010.
25. C. Wu. SiftGPU: A GPU implementation of scale invariant feature transform (SIFT). http://cs.unc.edu/̃ccwu/siftgpu, 2007.