The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.02 - March/April (2002 vol.22)
pp: 44-54
ABSTRACT
<p>This article presents a complete approach for automated construction of mosaics from images and video, constituting a practical end-to-end system. Local alignment of spatially overlapping frames followed by global consistency provides spatial continuity, while compositing via multiresolution blending provides photometric continuity, so that the mosaic is free of seams that betray the underlying frames. When the camera traverses the scene with a 2D scan pattern, it is necessary to identify and align all spatially overlapping frames, including those not temporally contiguous. To reduce the amount of user interaction and to relax constraints on image capture, the novel topology inference algorithm will automatically determine a graph of spatial overlap relationships within a collection of frames, regardless of the scan pattern. We will highlight the generality of our approach by its application to planar mosaics, spherical mosaics, and geocoded terrestrial mosaics.</p>
INDEX TERMS
environment maps, mosaic construction, image alignment, bundle adjustment, compositing
CITATION
Steve Hsu, Harpreet S. Sawhney, Rakesh Kumar, "Automated Mosaics via Topology Inference", IEEE Computer Graphics and Applications, vol.22, no. 2, pp. 44-54, March/April 2002, doi:10.1109/38.988746
REFERENCES
1. H.S. Sawhney, R. Kumar, G. Gendel, J. Bergen, D. Dixon, and V. Paragano, “VideoBrushTM: Experiences with Consumer Video Mosaicing,” Proc. IEEE Workshop Applications of Computer Vision, pp. 52-62, 1998.
2. S.E. Chen, "QuickTime VR—An Image-Based Approach to Virtual Environment Navigation," Siggraph 95 Conf. Proc., ACM Press, New York, 1995, pp. 29-38.
3. M. Hodges,"Seeing Data In-Depth," Computer Graphics World, vol. 23, no. 5, May 2000, pp. 43-49.
4. J.W. Berger, M.E. Leventon, N. Hata, W. Wells, and R. Kikinis, “Design Considerations for a Computer-Vision-Enabled Ophthalmic Augmented Reality Environment,” Lecture Notes in Computer Science, vol. 1205, pp. 399-408, 1997.
5. R. Szeliski, “Video Mosaics for Virtual Environments,” IEEE Computer Graphics and Applications, pp. 22-30, Mar. 1996.
6. D. Hockney,Cameraworks, Alfred A. Knopf, New York 1984.
7. H. Sawhney, S. Hsu, and R. Kumar, “Robust Video Mosaicing through Topology Inference and Local to Global Alignment,” Proc. Fifth European Conf. Computer Vision, vol. II, pp. 103-119, 1998.
8. P.J. Burt and E.H. Adelson, “A Multiresolution Spline with Application to Image Mosaics,” ACM Trans. Graphics, vol. 2, no. 4, pp. 217-236, Oct. 1983.
9. J. Shade, S. Gortler, L.-W. He, and R. Szeliski, “Layered Depth Images,” Proc. SIGGRAPH '98, pp. 231-242, 1998.
10. M.M. Oliveira and G. Bishop,"Image-Based Objects," Proc. ACM Symp. Interactive 3D Graphics, ACM Press, New York, 1999, pp. 191-198.
11. R. Szeliski and H.-Y. Shum, “Creating Full View Panoramic Image Mosaics and Environments Maps,” Proc. Computer Graphics, Ann. Conf. Series, vol. 8, pp. 251-258, 1997.
12. R. Wildes et al., "Video Georegistration: Algorithm and Quantitative Evaluation," Proc. Int'l Conf. Computer Vision (ICCV 01), vol. 2,IEEE CS Press, Los Alamitos, Calif., 2001, pp. 343-350.
19 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool