The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
What Is the Range of Surface Reconstructions from a Gradient Field?
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Citations
Cites
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Scale-space and edge detection using anisotropic diffusion
Perona, P., & Malik, J. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.56205 · Cited by 12,119
From few to many: illumination cone models for face recognition under variable lighting and pose
Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,912
Anisotropic diffusion in image processing
Weickert, J. (1998) · Cited by 2,225
Deterministic edge-preserving regularization in computed imaging
Charbonnier, P., Blanc-Feraud, L., Aubert, G., & Barlaud, M. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.551699 · Cited by 1,301
Gradient domain high dynamic range compression
Fattal, R., Lischinski, D., & Werman, M. (2002) · Proceedings of the 29th annual conference on Computer graphics and interactive techniques · doi:10.1145/566570.566573 · Cited by 1,120
A method for enforcing integrability in shape from shading algorithms
Frankot, R. T., & Chellappa, R. (1988) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.3909 · Cited by 1,038
Self-citationAubert, G., & Kornprobst, P. (2002) · Applied Mathematical Sciences · doi:10.1007/b97428 · Cited by 983
Gradient domain high dynamic range compression
Fattal, R., Lischinski, D., & Werman, M. (2002) · ACM Transactions on Graphics · doi:10.1145/566654.566573 · Cited by 777
Determining lightness from an image
Horn, B. K. P. (1974) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(74)90022-7 · Cited by 635
Cited by
Scene completion using millions of photographs
Hays, J., & Efros, A. A. (2007) · ACM SIGGRAPH 2007 papers · doi:10.1145/1275808.1276382 · Cited by 687
Static and dynamic 3D facial expression recognition: A comprehensive survey
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.005 · Cited by 357
Angular synchronization by eigenvectors and semidefinite programming
Singer, A. (2011) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2010.02.001 · Cited by 329
Direct face detection and video reconstruction from event cameras
Miyatani, Y., Barua, S., & Veeraraghavan, A. (2016) · 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2016.7477561 · Cited by 133
Metadata
- Authors
- Agrawal, A., Raskar, R., & Chellappa, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 578-591
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W95698601
- Cited by
- 311
- References
- 17
- FWCI
- 15.55
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- The paper
- Agrawal, A., Raskar, R., & Chellappa, R. (2006). What Is the Range of Surface Reconstructions from a Gradient Field? Lecture Notes in Computer Science. https://doi.org/10.1007/11744023_45
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
