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Image-Based Rendering of Range Data with Estimated Depth Uncertainty
July/August 2004 (vol. 24 no. 4)
pp. 34-42
Christian Hofsetz, Universidade do Vale do Rio dos Sinos
Kim Ng, STMicroelectronics San Diego Laboratory
George Chen, STMicroelectronics San Diego Laboratory
Peter McGuinness, STMicroelectronics San Diego Laboratory
Nelson Max, University of California, Davis
Yang Liu, University of California, Davis
It's difficult to get accurate depth information with computer vision's 3D estimation techniques. When the estimated depths are uncertain, conventional image-based rendering algorithms fails and the view rendering quality suffers. This article demonstrates an image-based rendering algorithm that can render good quality views even when the estimated depths are uncertain. Instead of only using the depth information per pixel, this approach computes a depth uncertainty region. We show how to extract the depth from the input images and how to compute the uncertainty region. The article shows how to render depth with uncertainty by splatting 3D ellipsoidal Gaussian kernels.

1. M. Zwicker et al., "EWA Volume Splatting," Proc. Visualization 01, IEEE Press, 2001, pp. 29-36.
2. K.C. Ng, M. Trivedi,, and H. Ishiguro,"Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match, and Render," Int'l J. Computer Vision, vol. 47, nos. 1-3, Apr.-June 2002, pp. 131-147.
3. D. Elbery,Perspective Projection of an Ellipsoid, tech. report, Magic Software, 1999; http://www.magic-software.com/Documentation PerspectiveProjectionEllipsoid.pdf.
4. C. Buehler et al., "Unstructured Lumigraph Rendering," Proc. Siggraph, ACM Press, 2001, pp. 425-432.
1. M. Levoy and P. Hanrahan,"Light Field Rendering," Proc. Siggraph, ACM Press, 1996, pp. 31-42.
2. S.J. Gortler et al., "The Lumigraph," Proc. Siggraph, ACM Press, 1996, pp. 43-54.
3. C. Buehler et al., "Unstructured Lumigraph Rendering," Proc. Siggraph, ACM Press, 2001, pp. 425-432.
4. M. Levoy and T. Whitted,The Use of Points as a Display Primitive, tech. report TR 85-022, Computer Science Dept., Univ. of North Carolina at Chapel Hill, 1985.
5. J.P. Grossman and W.J. Dally,"Point Sample Rendering," Proc. 9th Eurographics Workshop Rendering, Springer-Verlag, 1998, pp. 181-192.
6. N. Max,"Hierarchical Rendering of Trees from Precomputed Multi-layerZ-Buffers," Proc. Eurographics Workshop Rendering Techniques, Springer-Verlag, 1996, pp. 165-174.
7. L. Westover,"Interactive Volume Rendering," Proc. Chapel Hill Workshop Volume Visualization, ACM Press, 1989, pp. 9-16.
8. H. Pfister et al., "Surfels: Surface Elements as Rendering Primitives," Proc. Siggraph, ACM Press, 2000, pp. 335-342.
1. M. Okutomi and T. Kanade, “A Multiple-Baseline Stereo,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 4, pp. 353-363, Apr. 1993.
1. K.C. Ng, M. Trivedi,, and H. Ishiguro,"Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match, and Render," Int'l J. Computer Vision, vol. 47, nos. 1-3, Apr.-June 2002, pp. 131-147.

Citation:
Christian Hofsetz, Kim Ng, George Chen, Peter McGuinness, Nelson Max, Yang Liu , "Image-Based Rendering of Range Data with Estimated Depth Uncertainty," IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 34-42, July-Aug. 2004, doi:10.1109/MCG.2004.8
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