|
ABSTRACT
This paper presents a Fourier-based approach for automatically constructing a 3D panoramic model of a natural scene from a video sequence. The video sequences could be captured by an unstabilized camera mounted on a moving platform on a common road surface. As the input of the algorithms, "seamless" panoramic view images (PVIs) and epipolar plane images (EPIs) are generated after image stabilization if the camera is unstabilized. A novel panoramic EPI analysis method is proposed that combines the advantages of both PVIs and EPIs efficiently in three important steps: locus orientation detection in the Fourier frequency domain, motion boundary localization in the spatio-temporal domain, and occlusion/resolution recovery only at motion boundaries. The Fourier energy-based approaches in literature were usually for low-level local motion analysis and are therefore not accurate for 3D reconstruction and are also computationally expensive. Our panoramic EPI analysis approach is both accurate and efficient for 3D reconstruction. Examples of layered panoramic representations for large-scale 3D scenes from real world video sequences are given.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Adelson, E.H. and Bergen, J.R. 1985. Spatiotemporal energy model for the perception of motion. J. Opt. Soc. Am., A2:284-299.
|
| |
2
|
Allmen, M. and Dyer, C.R. 1991. Long range spatiotemporal motion understanding using spatiotemporal flow curves. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 303-309.
|
| |
3
|
Baillard, C. and Zisserman, A. 1999. Automatic reconstruction of piecewise planar models from multiple views. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 559-565.
|
| |
4
|
Baker, H.H. and Bolles, R.C. 1989. Generalizing epipolar-plane image analysis on the spatiotemporal surface. Int. J. Computer Vision, 3:33-49.
|
| |
5
|
|
| |
6
|
|
| |
7
|
Bolles, R.C., Baker, H.H., and Marimont, D.H. 1987. Epipolar-plane image analysis: An approach to determining structure from motion. Int. J. Computer Vision, 1(1):7-55.
|
| |
8
|
Chang, N.L. and Zakhor, A. 1997. View generation for three-dimensional scene from video sequence. IEEE Trans on Image Processing, 6(4):584-598.
|
| |
9
|
|
 |
10
|
|
| |
11
|
|
| |
12
|
Robert T. Collins , Christopher O. Jaynes , Yong-Qing Cheng , Xiaoguang Wang , Frank Stolle , Edward M. Riseman , Allen R. Hanson, The ascender system: automated site modeling from multiple aerial images, Computer Vision and Image Understanding, v.72 n.2, p.143-162, Nov. 1998
[doi> 10.1006/cviu.1998.0729]
|
| |
13
|
|
| |
14
|
|
 |
15
|
|
| |
16
|
Olivier Faugeras , Luc Robert , Stéphane Laveau , Gabriella Csurka , Cyril Zeller , Cyrille Gauclin , Imad Zoghlami, 3-D reconstruction of urban scenes from image sequences, Computer Vision and Image Understanding, v.69 n.3, p.292-309, March 1998
[doi> 10.1006/cviu.1998.0665]
|
| |
17
|
|
| |
18
|
|
| |
19
|
Hansen, M., Anandan, P., Dana, K., van de Wal, G., and Burt, P. 1994. Real-time scene stabilization and mosaic construction. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 54-62.
|
| |
20
|
Heeger, D.J. 1987. Optical flow from spatio-temporal filters. In Proc. IEEE Int. Conf. Computer Vision, pp. 181-190.
|
| |
21
|
Ishiguro, H., Yamamoto, M., and Tsuji, S. 1990. Omni-directional stereo for making global map. In Proc. IEEE Int. Conf. Computer Vision, pp. 540-547.
|
| |
22
|
|
| |
23
|
|
 |
24
|
|
| |
25
|
|
| |
26
|
|
| |
27
|
Nayar, S. and Karmarkar, 2000. 360 × 360 mosaics. In IEEE Conf. Computer Vision and Pattern Recognition, II:388-395.
|
| |
28
|
|
| |
29
|
Peleg, S. and Ben-Ezra, M. 1999. Stereo panorama with a single camera. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 395-401.
|
| |
30
|
|
| |
31
|
|
| |
32
|
|
 |
33
|
|
| |
34
|
|
| |
35
|
H. S. Sawhney , R. Kumar , G. Gendel , J. Bergen , D. Dixon , V. Paragano, VideoBrushTM: Experiences with Consumer Video Mosaicing, Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98), p.56, October 19-21, 1998
|
 |
36
|
|
| |
37
|
|
| |
38
|
|
| |
39
|
Shum, H.-Y. and Szeliski, R., 1999. Stereo reconstruction from multiperspective panoramas. In Proc. IEEE Int. Conf. Computer Vision, pp. 14-21.
|
| |
40
|
Shum, H.-Y., Kalai, A., and Seitz, S.M. 1999. Omnivergent stereo. In Proc. IEEE Int. Conf. Computer Vision, pp. 22-29.
|
| |
41
|
Szeliski, R. 1999. A multi-view approach to motion and stereo. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 157-163.
|
| |
42
|
Wang, J. and Adelson, E.H. 1994. Representation moving images with layers. IEEE Trans. on Image Processing, 3(5):625-638.
|
| |
43
|
|
| |
44
|
|
| |
45
|
|
| |
46
|
|
| |
47
|
Zhu, Z., Xu, G., and Lin, X., 1999. Panoramic EPI generation and analysis of video from a moving platform with vibration. In IEEE Conf. Computer Vision and Pattern Recognition, pp. 531-537.
|
| |
48
|
Zhu, Z. 2001. Full View Spatio-Temporal Visual Navigation-Imaging, Modeling and Representation of Real Scenes, China Higher Education Press, December 2001 (based on his Ph.D. Thesis, Department of Computer Science and Technology, Tsinghua University, 1997. English Version may be found at http://www-cs.engr.ccny.cuny.edu/~zhu/PhD-Thesis/).
|
| |
49
|
Zhu, Z. and Hanson, A.R. 2001.3D LAMP: A new layered panoramic representation. In Proc. IEEE Int. Conf. Computer Vision, vol. II, pp. 723-730.
|
| |
50
|
Zhu, Z., Riseman, E.M., and Hanson, A.R. 2001. Parallel-perspective stereo mosaics. In Proc. IEEE Int. Conf. Computer Vision, vol. I, pp. 345-352.
|
| |
51
|
|
REVIEW
"Steven S. Beauchemin : Reviewer"
This research paper presents an algorithm for three-dimensional (3D) scene reconstruction from a mobile platform, which combines epipolar plane image (EPI) and panoramic view image (PVI) analysis to estimate pixel-wise depths and locate regions of
more...
|