Qi Mo, Computer Science, University of Iowa

 

Qi Mo

Computer Science

University of Iowa

 

101K Maclean Hall

University of Iowa

Iowa City, IA 52246

qmo@cs.uiowa.edu

Tel:  (319) 331-4931 

Curriculum Vitae

Teaching

·       FALL 2006: 22C:151 Introduction to Computer Graphics

Research

Soft Shadow Occlusion Camera

A fundamental challenge for existing shadow map based algorithms is dealing with partially illuminated surfaces. A conventional shadow map built with a pinhole camera only provides a binary visibility sorting of the scene, and this all-or-nothing approach to visibility does not capture penumbral regions. We present an interactive soft shadow algorithm based on a variant of the depth discontinuity occlusion camera, a non-pinhole camera with rays that reach around blockers to sample normally hidden surfaces. Our soft shadow occlusion camera (SSOC) classifies a fragment on a continuum from fully visible to fully hidden, as seen from the light. The SSOC is used directly in fragment illumination computation without building an explicit "soft shadow map." This method plausibly renders soft shadows at interactive speeds under fully dynamic conditions.

Publications

 

The Soft Shadow Occlusion Camera. Qi Mo, Voicu Popescu, and Chris Wyman. Proceedings of Pacific Graphics 2007, 189-198. (October 2007) [Video]

Interactive Backprojected Soft Shadows with Occlusion Camera Shadow Map. Qi Mo, Chris Wyman. SIGGRAPH 2007 Poster.

Real-time Soft Shadow Mapping using the DDOC. Qi Mo, Chris Wyman. Midgraph 2006.