B
Brian Curless
Researcher at University of Washington
Publications - 130
Citations - 28232
Brian Curless is an academic researcher from University of Washington. The author has contributed to research in topics: Computer science & Rendering (computer graphics). The author has an hindex of 59, co-authored 122 publications receiving 25934 citations. Previous affiliations of Brian Curless include Stanford University.
Papers
More filters
Proceedings ArticleDOI
A volumetric method for building complex models from range images
Brian Curless,Marc Levoy +1 more
TL;DR: This paper presents a volumetric method for integrating range images that is able to integrate a large number of range images yielding seamless, high-detail models of up to 2.6 million triangles.
Proceedings ArticleDOI
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
TL;DR: This paper first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties, then describes the process for acquiring and calibrating multiview image datasets with high-accuracy ground truth and introduces the evaluation methodology.
Proceedings ArticleDOI
Image analogies
TL;DR: This paper describes a new framework for processing images by example, called “image analogies,” based on a simple multi-scale autoregression, inspired primarily by recent results in texture synthesis.
Proceedings ArticleDOI
The digital Michelangelo project: 3D scanning of large statues
Marc Levoy,Kari Pulli,Brian Curless,Szymon Rusinkiewicz,David Koller,Lucas Melchiori Pereira,Matthew David Ginzton,Sean E. Anderson,James Davis,Jeremy Ginsberg,Jonathan Shade,Duane Fulk +11 more
TL;DR: A hardware and software system for digitizing the shape and color of large fragile objects under non-laboratory conditions and the largest single dataset is of the David - 2 billion polygons and 7,000 color images.
Journal ArticleDOI
Building Rome in a day
Sameer Agarwal,Yasutaka Furukawa,Noah Snavely,Ian Simon,Brian Curless,Steven M. Seitz,Richard Szeliski +6 more
TL;DR: A system that can match and reconstruct 3D scenes from extremely large collections of photographs such as those found by searching for a given city on Internet photo sharing sites and is designed to scale gracefully with both the size of the problem and the amount of available computation.