Super-resolution omnidirectional camera images using spatio-temporal analysis

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 89, Issue 6, 2006, Pages 47-59

  Kawasaki, Hiroshi ^a,b,c,d,e   Ikeuchi, Katsushi ^a,c,f   Sakauchi, Masao ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b SAITAMA UNIVERSITY   (Japan)

^c IEEE   (Japan)

^d IPSJ   (Japan)

^e IEICE ^*  (Japan)

^f Robotics Society of   (Japan)

Author keywords

Building image database; Omnidirectional image; Spatio temporal image analysis; Super resolution

Indexed keywords

BUILDING IMAGE DATABASE; OMNIDIRECTIONAL IMAGE; SPATIO-TEMPORAL IMAGE ANALYSIS; SUPER-RESOLUTION;

CAMERAS; DATABASE SYSTEMS; OPTICAL RESOLVING POWER; PROBLEM SOLVING;

IMAGE ANALYSIS;

EID: 33644882509     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/ecjc.20246     Document Type: Article

References (31)

1. Zhong JY, Tsuji S. Panoramic representation of scenes for route understanding. Int Conf Pattern Recognition, p 161-167, 1990.
2. Onoe Y, Yamazawa K, Yokoya N, Takemura H. Telepresence by real-time view-dependent image generation from omnidirectional images. Technical Report, PRMU97-20, 1997.
3. Kawasaki H, Yadabe T, Ikeuchi K, Sakauchi M. Automatic modeling of a 3D city map from omni video. Research Reports from the Information Processing Society of Japan, CVIM-119, p 25-32, 1999.
4. Kawasaki H, Ikeuchi K, Sakauchi M. Spatio-temporal analysis for omni image. CVPR 2000;2:577-584.
5. Kang SB. Catadioptric self-calibration. CVPR 2000;2:201-207.
6. Takahashi T, Kawasaki H, Ikeuchi K, Sakauchi M. Expanding possible view points of virtual environment using panoramic images. CVPR 2000:2:296-303.
7. Hong M-C, Stathaki T, Katsaggelos AK. Iterative regularized image restoration using local constraints, Proc IEEE Workshop on Nonlinear Signal and Image Processing, Vol. 1, p 145-148, MackinacIsland, MI, 1997.
8. Freeman WT, Pasztor EC. Learning low-level vision. IEEE Int Conf Image Processing, 1999.
9. Cheeseman P, Kanefsky B, Hanson R, Stutz J. Super-resolved surface reconstruction from multiple images. Tech Rep FIA-93-02, NASA Ames Research Center, Artificial Intelligence Branch, 1993.
10. Smelyanskiy VN, Cheeseman P, Maluf DA, Morris RD. Baysian super-resolved surface reconstruction from images. CVPR 2000;2:375-382.
11. Tom BCS, Lay KT, Katsaggelos AK. Multi-channel image identification and restoration using the expectation-maximization algorithm. Opt Eng 1996;35:241-254.
12. Igarashi T, Komatsu T, Aizawa K, Saito T. Very high resolution imaging scheme with multiple different-aperture cameras. Signal Processing: Image Communication 1993:5:511-526.
13. Nakazawa Y, Saito T, Komatsu T, Sekimori T, Aizawa K. Two approaches for image-processing based high resolution image acquisition. IEEE Int Conf Image Processing, Vol. 3, 1994.
14. Chiang M-C, Boult TE. Efficient image warping and super-resolution. Proc Third IEEE Workshop on Applications of Computer Vision, p 56-61, 1996.
15. Chiang M-C, Boult TE. Local blur estimation and super-resolution. CVPR, 1997.
16. Schultz RR, Stevenson RL. Extraction of high-resolution frames from video sequences. Trans Image Process 1996;5:996-1011.
17. Elad M, Feuer A. Super-resolution reconstruction of continuous image sequence. IEEE Int Conf Image Processing, 1999.
18. Tom BC, Katsaggelos AK. Resolution enhancement of color video. Proc European Conf on Signal Processing, p 145-148, Italy, 1996.
19. Hong M-C, Stathaki T, Katsaggelos AK. An iterative weighted regularized algorithm for improving the resolution of video sequences. IEEE Int Conf Image Processing, Vol. II, p 474-477, Santa Barbara, CA, 1997.
20. Baker S, Kanade T. Super-resolution optical flow. Tech Rep 2000;CMU-RI-TR-99-36.
21. Patti AJ, Sezan MI, Tekalp AM. Super-resolution video reconstruction with arbitrary sampling lattices and non-zero aperture lime. Trans Image Processing 1997;6:1064-1076.
22. Irani M, Pelcg S. Motion analysis for image enhancement: Resolution, occlusion, and transparency. J Visual Commun Image Representation 1993;4: 324-335.
23. Huang TS, Tsai RY. Multi-frame image restoration and registration. Computer Vision Image Process 1984; 1:317-339.
24. Zomet A, Peleg S. Applying super-resolution to panoramic mosaics. IEEE Workshop on Applications of Computer Vision, 1998.
25. Nagahara H, Yagi Y, Yachida M. Super-resolution from omnidirectional spatio-temporal images. Research Reports from the Information Processing Society of Japan, 00-CVIM-121, p 97-104, 2000.
26. Nayar S. Catadioptric omnidirectional video camera. CVPR, p 482-488, 1997.
27. Yamazawa K, Yagi Y, Yachida M. Omnidirectional viewing systems for mobile robot navigation. Trans IEICE 1996;J79-D-II:698-707.
28. Yamamoto M. Determining three-dimensional structuring from image sequences given by horizontal and vertical moving camera. Trans IEICE 1986;J69-D:1631-1638.
29. Bolles R, Baker H, Marimont D. Epipolar plane image analysis: An approach to determining structure from motion. Int J Computer Vision 1987;1:7-55.
30. Baker S, Kanade T. Limits on super-resolution and how to break them. CVPR 2000;2:372-379.
31. Kawasaki H, Yatabe T, Ikeuchi K, Sakauchi M. Construction of a 3D city map using EPI analysis and DP matching. Asian Conf Computer Vision 2000;2:1149-1155.