Acquiring the Reflectance Field of a Human Face

By Paul E. Debevec, Tim Hawkins, C. Tchou, H. Duiker, Westley Sarokin, Mark Sagar. International Conference on Computer Graphics and Interactive Techniques, 2000

1,227 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/129e1f4f01b37525da063ac73df6f7e22ba7a6aa

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In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

Citations in the corpus

Real-world illumination and the perception of surface reflectance properties. (2003, methodology): “Sphere (a) is shown against its true background, acquired photographically by Debevec et al. (2000) .”
Neural 3D Video Synthesis from Multi-view Video (2021, neutral): “Complex view-dependent effects can be captured by light transport acquisition methods [11, 60].”
Single image portrait relighting (2019, methodology): “Image-Based Relighting: The linearity of light transport allows one to take many images of a subject from the same viewpoint under different known illuminations, and relight the subject simply by weighting and linearly combining those images [Debevec et al. 2000].”
A signal-processing framework for inverse rendering (2001, methodology): “Inverse rendering methods such as those of Debevec et al. [ 6 ],”
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies (2021, methodology): “To achieve high-quality reconstruction, most methods rely on complicated hardware [10, 14, 59, 11, 16].”
Digital photography with flash and no-flash image pairs (2004, background): “…by combining photographs taken from different viewpoints [e.g. Szeliski and Shum 1997], and synthetically relighting images by combining images taken under different illumination conditions [Haeberli 1992; Debevec et al. 2000; Masselus et al. 2002; Akers et al. 2003; Agarwala et al. 2004].”
Portrait shadow manipulation (2020, methodology): “We therefore synthesize the training data for this task using one-light-at-a-time (OLAT) scans taken by a Light Stage, an acquisition setup and method proposed to capture reflectance field (Debevec et al. 2000) of human faces.”
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation (2012, background): “Many other light stages have been used for computer graphics purposes [30], [31].”
Recognizing Materials Using Perceptually Inspired Features (2013, background): “These objects share the same checkerboard patterns, but they are made of (from left to right): fabric, plastic , and paper 1999; Debevec et al. 2000; Matusik et al. 2000; Tom-inaga and Tanaka 2000; Boivin and Gagalowicz 2001; Nishino et al. 2001; Ramamoorthi and Hanrahan 2001; Cula et al. 2004;…”
Precomputed Radiance Transfer for Real-Time Rendering in Dynamic, Low-Frequency Lighting Environments (2002, methodology): “Debevec, et al. [ 9 ] relight faces using a directional light basis.”
Face recognition in hyperspectral images (2003, background): “A skin reflec-tancemodelhasalsobeenusedtosynthesizefaceimagesafter changes in lighting and viewpoint [24].”