Image Based Visual Hulls


Wojciech Matusik; Chris Buehler; Steven J. Gortler; Ramesh Raskar; Leonard McMillan


In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhouette image data. Our algorithm takes advantage of epipolar geometry and incremental computation to achieve a constant rendering cost per rendered pixel. It does not suffer from the computation complexity, limited resolution, or quantization artifacts of previous volumetric approaches. We demonstrate the use of this algorithm in a real-time virtualized reality application running off a small number of video streams.

BibTex entry

@conference { 216, title = {Image Based Visual Hulls}, year = {2000}, month = {23/07/2000}, pages = {369-374}, publisher = {Association for Computing Machinery}, address = {New Orleans, LA}, author = {Wojciech Matusik and Chris Buehler and Steven J. Gortler and Ramesh Raskar and Leonard McMillan} }