Multi-view scene capture by surfel sampling: From video streams to non-rigid 3D motion, shape and reflectance
type: Item
instance of: scholarly article
title: Multi-view scene capture by surfel sampling: From video streams to non-rigid 3D motion, shape and reflectance
zbMATH Open document ID: 1012.68772
DOI: 10.1023/A:1020145606604
author: Rodrigo L. Carceroni
author: Kiriakos N. Kutulakos
published in: International Journal of Computer Vision
publication date: 2003-02-19T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 1871436
zbMATH Keywords: stereoscopic vision
zbMATH Keywords: 3D reconstruction
zbMATH Keywords: multiple-view geometry
zbMATH Keywords: multi-view stereo
zbMATH Keywords: space carving
zbMATH Keywords: motion analysis
zbMATH Keywords: multi-view motion estimation
zbMATH Keywords: direct estimation methods
zbMATH Keywords: image warping
zbMATH Keywords: deformation analysis
zbMATH Keywords: 3D motion capture
zbMATH Keywords: reflectance modeling
zbMATH Keywords: illumination modeling
zbMATH Keywords: Phong reflectance model
MaRDI profile type: Publication
full work available at URL: a:1020145606604
OpenAlex ID: W3015613699
description: scientific article; zbMATH DE number 1871436