Fast Separation of Direct and Global Components of a Scene Using High Frequency Illumination

By Shree K. Nayar, Gurunandan Krishnan, M. Grossberg, Ramesh Raskar. ACM Transactions on Graphics, 2006

570 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cce1335b6aadf91800f91ac99da2963e40dd052e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Kalyan Sunkavalli
2. Zexiang Xu
3. Daniel Moreno
4. Manmohan Chandraker
5. Zhengqin Li
6. Gabriel Taubin
7. Ravi Ramamoorthi
8. Jonathan T. Barron

In Computer Vision and Pattern Recognition

1. Kalyan Sunkavalli
2. Manmohan Chandraker
3. Zexiang Xu
4. Zhengqin Li
5. Ravi Ramamoorthi
6. Daniel Moreno
7. Ko Nishino
8. Gabriel Taubin

Citations in the corpus

• Simple, Accurate, and Robust Projector-Camera Calibration (2012, background): “mend the reader to study [19] for more details.”
• Learning to reconstruct shape and spatially-varying reflectance from a single image (2018, methodology): “These can be subsequently used for scene analysis tasks [Nayar et al. 2006; O’Toole and Kutulakos 2010].”
• The Scale of Geometric Texture (2012, background): “Nayar et al. [17] project a moving pattern onto the scene to separate the effect of direct illumination from that of interreflection and other “global” illumination phenomena.”
• NeRF: Representing scenes as neural radiance fields for view synthesis (unknown): “Indeed, the seminal graphics papers volume from the 50 th SIGGRAPH conference in 2023 [ 74 ] includes at least a dozen IBR papers from the mid-1990s to the mid-2000s (listed in chronological order) [ 10, 38, 31, 18, 12, 81, 11, 78, 5, 45, 65 ].”