Towards Wiki-based Dense City Modeling - Institute for Computer ...

(a)
(b)
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Figure 7. (a) Some sample images from a collection of 49 views.
(b) Sparse reconstruction and camera orientations. (c) Final dense
reconstruction after depth map fusion.
sis and solutions of the three point perspective pose estimation
problem. In Proc. CVPR, pages 592–598, 1991.
[7] H. Jegou, H. Harzallah, and C. Schmid. A contextual dissimilarity
measure for accurate and efficient image search.
In Proc. CVPR, 2007.
[8] M. Lourakis and A. Argyros. The design and implementation
of a generic sparse bundle adjustment software package
based on the levenberg-marquardt algorithm. Technical Report
340, Institute of Computer Science - FORTH, 2004.
[9] D. Lowe. Distinctive image features from scale-invariant
keypoints. IJCV, 60(2):91–110, 2004.
[10] E. Malis and R. Cipolla. Camera self-calibration from unknown
planar structures enforcing the multiview constraints
between collineations. TPAMI, 24(9):1268–1272, 2002.
[11] D. Nistér. An efficient solution to the five-point relative pose
problem. TPAMI, 26(6):756–770, 2004.
[12] D. Nistér and H. Stewenius. Scalable recognition with a vocabulary
tree. In Proc. CVPR, pages 2161–2168, 2006.
[13] T. Pajdla, T. Werner, and V. Hlaváč. Correcting radial lens
distortion without knowledge of 3-D structure. Technical report,
Center for Machine Perception, Czech Technical University,
1997.
[14] M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest,
K. Cornelis, J. Tops, and R. Koch. Visual modeling with
a hand-held camera. IJCV, 59(3):207–232, 2004.
[15] M. Pollefeys, F. Verbiest, and L. Van Gool. Surviving dominant
planes in uncalibrated structure and motion recovery. In
Proc. ECCV, pages 837–851, 2002.
[16] F. Schaffalitzky and A. Zisserman. Multi-view matching for
unordered image sets, or ”How do I organize my holiday
snaps?”. In Proc. ECCV, pages 414–431, 2002.
[17] G. Schindler, M. Brown, and R. Szelisk. City-scale location
recognition. In Proc. CVPR, 2007.
[18] J. Sivic and A. Zisserman. Video google: A text retrieval approach
to object matching in videos. In International Conference
on Computer Vision, pages 1470–1477, 2003.
[19] N. Snavely, S. Seitz, and R. Szeliski. Photo tourism: Exploring
photo collections in 3D. In Proceedings of SIGGRAPH
2006, pages 835–846, 2006.
[20] B. Tordoff and D. W. Murray. Guided sampling and consensus
for motion estimation. In Proc. ECCV, pages 82–98,
2002.
[21] B. Triggs. Autocalibration from planar scenes. In Proceedings
of the 5th European Conference on Computer Vision
(ECCV’98), pages 89–105, 1998.
[22] R. Y. Tsai. A versatile camera calibration technique for high
accuracy 3d machine vision metrology using off-the-shelf tv
cameras and lenses. IEEE Journal of Robotics and Automation,
3(4):323–344, 1987.
[23] M. Vergauwen and L. Van Gool. Web-based 3D reconstruction
service. Mach. Vision Appl., 17(6):411–426, 2006.
[24] R. Yang and M. Pollefeys. Multi-resolution real-time stereo
on commodity graphics hardware. In Proc. CVPR, pages
211–217, 2003.
[25] C. Zach, T. Pock, and H. Bischof. A globally optimal algorithm
for robust TV-L 1 range image integration. In Proc.
ICCV, 2007. to appear.
[26] C. Zach, M. Sormann, and K. Karner. Scanline optimization
for stereo on graphics hardware. In Proc. 3DPVT, 2006.
[27] Z. Zhang. A flexible new technique for camera calibration.
TPAMI, 22(11):1330–1334, 2000.