The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Review of image-based rendering techniques
Abstract
In this paper, we survey the techniques for image-based rendering. Unlike traditional 3D computer graphics in which 3D geometry of the scene is known, image-based rendering techniques render novel views directly from input images. Previous image-based rendering techniques can be classified into three categories according to how much geometric information is used: rendering without geometry, rendering with implicit geometry (i.e., correspondence), and rendering with explicit geometry (either with approximate or accurate geometry). We discuss the characteristics of these categories and their representative methods. The continuum between images and geometry used in image-based rendering techniques suggests that image-based rendering with traditional 3D graphics can be united in a joint image and geometry space.
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Cited by
Image‐based 3D Modelling: A Review
Remondino, F., & El‐Hakim, S. (2006) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2006.00383.x · Cited by 1,019
DeepVoxels: Learning Persistent 3D Feature Embeddings
Sitzmann, V., Thies, J., Heide, F., Nießner, M., Wetzstein, G., & Zollhöfer, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00254 · Cited by 558
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video
Weng, C.-Y., Curless, B., Srinivasan, P. P., Barron, J. T., & Kemelmacher-Shlizerman, I. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01573 · Cited by 452
Dynamic View Synthesis from Dynamic Monocular Video
Gao, C., Saraf, A., Kopf, J., & Huang, J.-B. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00566 · Cited by 346
Tewari, A., Thies, J., Mildenhall, B., Srinivasan, P., Tretschk, E., Yifan, W., Lassner, C., Sitzmann, V., Martin‐Brualla, R., Lombardi, S., et al. (2022) · Computer Graphics Forum · doi:10.1111/cgf.14507 · Cited by 339
Metadata
- Authors
- Shum, H., & Kang, S. B.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2000-05-30
- Volume
- 4067
- Pages
- 2
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2067132795
- Cited by
- 385
- References
- 23
- FWCI
- 1.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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