The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Photorealistic scene reconstruction by voxel coloring
Abstract
A novel scene reconstruction technique is presented, different from previous approaches in its ability to cope with large changes in visibility and its modeling of intrinsic scene color and texture information. The method avoids image correspondence problems by working in a discretized scene space whose voxels are traversed in a fixed visibility ordering. This strategy takes full account of occlusions and allows the input cameras to be far apart and widely distributed about the environment. The algorithm identifies a special set of invariant voxels which together form a spatial and photometric reconstruction of the scene, fully consistent with the input images. The approach is evaluated with images from both inward- and outward-facing cameras.
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Cites
Tsai, R. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087109 · Cited by 5,838
A volumetric method for building complex models from range images
Curless, B., & Levoy, M. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237269 · Cited by 3,124
Shape and motion from image streams under orthography: a factorization method
Tomasi, C., & Kanade, T. (1992) · International Journal of Computer Vision · doi:10.1007/bf00129684 · Cited by 2,878
The Quadtree and Related Hierarchical Data Structures
Samet, H. (1984) · ACM Computing Surveys · doi:10.1145/356924.356930 · Cited by 2,205
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
Debevec, P. E., Taylor, C. J., & Malik, J. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237191 · Cited by 1,905
Computational vision and regularization theory
Poggio, T., Torre, V., & Koch, C. (1985) · Nature · doi:10.1038/317314a0 · Cited by 1,412
Plenoptic modeling: an image-based rendering system
McMillan, L., & Bishop, G. (1995) · Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95 · doi:10.1145/218380.218398 · Cited by 1,262
View interpolation for image synthesis
Chen, S. E., & Williams, L. (1993) · Proceedings of the 20th annual conference on Computer graphics and interactive techniques · doi:10.1145/166117.166153 · Cited by 1,097
Epipolar-plane image analysis: An approach to determining structure from motion
Bolles, R. C., Baker, H. H., & Marimont, D. H. (1987) · International Journal of Computer Vision · doi:10.1007/bf00128525 · Cited by 892
Footprint evaluation for volume rendering
Westover, L. (1990) · Proceedings of the 17th annual conference on Computer graphics and interactive techniques · doi:10.1145/97879.97919 · Cited by 787
Cited by
Shade, J., Gortler, S., He, L.-W., & Szeliski, R. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280882 · Cited by 1,115
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
Niemeyer, M., Mescheder, L., Oechsle, M., & Geiger, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00356 · Cited by 834
Silhouette and stereo fusion for 3D object modeling
Hernández Esteban, C., & Schmitt, F. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.03.016 · Cited by 435
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
Wang, Y., Han, Q., Habermann, M., Daniilidis, K., Theobalt, C., & Liu, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00305 · Cited by 281
Tangible interaction + graphical interpretation: a new approach to 3D modeling
Anderson, D., Yedidia, J. S., Frankel, J. L., Marks, J., Agarwala, A., Beardsley, P., Hodgins, J., Leigh, D., Ryall, K., & Sullivan, E. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.344960 · Cited by 158
Metadata
- Authors
- Seitz, S. M., & Dyer, C. R.
- Venue
- Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-22
- Pages
- 1067-1073
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W1908470451
- Cited by
- 543
- References
- 34
- FWCI
- 34.39
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
