Surface Light Fields Project Page

A surface light field is a function that assigns a color to each ray originating on a surface. Surface light fields are well suited to constructing virtual images of shiny objects under complex lighting conditions. Our research investigates the construction, compression, rendering, and editing of surface light fields of real objects.

Our SIGGRAPH 2000 paper generalizes vector quantization and principal component analysis to construct a compressed representation of an object's surface light field from photographs and range scans. It also presents a new interactive rendering algorithm and plausible editing techniques.

Daniel Azuma ~ Brian Curless ~ Tom Duchamp ~ David Salesin ~ Werner Stuetzle ~ Daniel Wood

Papers (with some talks)

View-dependent refinement of multiresolution meshes with subdivision connectivity,

Afrigraph 2003,

Daniel Azuma, Daniel N. Wood, Brian Curless, Tom Duchamp, David H. Salesin, Werner Stuetzle
[ pdf - 3 meg ]

Surface Light Fields for 3D Photography

Proceedings of SIGGRAPH 2000,

Daniel Wood, Daniel Azuma, Wyvern Aldinger, Brian Curless, Tom Duchamp, David Salesin, Werner Stuetzle
[ pdf - 4 megs ] [ talk (html) ] [ talk (powerpoint) - 9 megs ] [ talk (powerpoint) with movies - 90 megs ]

View-dependent refinement of multiresolution meshes with subdivision connectivity,

Technical Report UW-CSE-2001-10-02,

Daniel Azuma, Brian Curless, Tom Duchamp, David H. Salesin, Werner Stuetzle, Daniel N. Wood
[ pdf - 1 meg ]

Interactive Rendering of Surface Light Fields,

Technical Report UW-CSE-2001-10-01, (Originally and mistakenly cited as Technical Report UW-CSE-2000-04-01),

Daniel Azuma
[ pdf - 1 meg ]

Talks

SIGGRAPH 2001 Surface Light Fields Course

[ talk (powerpoint) - 11 megs ]

This talk includes a slightly abbreviated version of the paper talk from SIGGRAPH 2000. However, in addition it talks about SLF compression in a more tutorial fashion. The higher-level presentation hopefully brings out the commonalities between our work and other work presented in the course.

Links

• More 3D photography research at the UW

Other

For now just take a look at our raw data. If there's something else you'd like, send us email. You never know!