Efficiently combining positions and normals for precise 3D geometry

Diego Nehab, Szymon Rusinkiewicz, James Davis, Ravi Ramamoorthi

Research output: Contribution to journalConference article

302 Scopus citations

Abstract

Range scanning, manual 3D editing, and other modeling approaches can provide information about the geometry of surfaces in the form of either 3D positions (e.g., triangle meshes or range images) or orientations (normal maps or bump maps). We present an algorithm that combines these two kinds of estimates to produce a new surface that approximates both. Our formulation is linear, allowing it to operate efficiently on complex meshes commonly used in graphics. It also treats high- and low-frequency components separately, allowing it to optimally combine outputs from data sources such as stereo triangulation and photometric stereo, which have different error-vs.-frequency characteristics. We demonstrate the ability of our technique to both recover high-frequency details and avoid low-frequency bias, producing surfaces that are more widely applicable than position or orientation data alone.

Original languageEnglish (US)
Pages (from-to)536-543
Number of pages8
JournalACM Transactions on Graphics
Volume24
Issue number3
DOIs
StatePublished - Jul 1 2005
EventACM SIGGRAPH 2005 - Los Angeles, CA, United States
Duration: Jul 31 2005Aug 4 2005

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Efficiently combining positions and normals for precise 3D geometry'. Together they form a unique fingerprint.

  • Cite this