Dynamic shape capture using multi-view photometric stereo

Author:

Vlasic Daniel1,Peers Pieter2,Baran Ilya1,Debevec Paul2,Popović Jovan3,Rusinkiewicz Szymon4,Matusik Wojciech5

Affiliation:

1. Massachusetts Institute of Technology

2. UCS, Institute for Creative Technologies

3. Massachusetts Institute of Technology and Adobe Systems, Inc. and University of Washington

4. Adobe Systems, Inc. and Princeton University

5. Adobe Systems, Inc.

Abstract

We describe a system for high-resolution capture of moving 3D geometry, beginning with dynamic normal maps from multiple views. The normal maps are captured using active shape-from-shading (photometric stereo), with a large lighting dome providing a series of novel spherical lighting configurations. To compensate for low-frequency deformation, we perform multi-view matching and thin-plate spline deformation on the initial surfaces obtained by integrating the normal maps. Next, the corrected meshes are merged into a single mesh using a volumetric method. The final output is a set of meshes, which were impossible to produce with previous methods. The meshes exhibit details on the order of a few millimeters, and represent the performance over human-size working volumes at a temporal resolution of 60Hz.

Funder

Division of Computing and Communication Foundations

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 124 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

2. Digitizing traditional dances under extreme clothing: The case study of Eyo;Journal of Cultural Heritage;2024-05

3. FastHuman: Reconstructing High-Quality Clothed Human in Minutes;2024 International Conference on 3D Vision (3DV);2024-03-18

4. SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture;ACM Transactions on Graphics;2023-12-05

5. 4DHumanOutfit: A multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements;Computer Vision and Image Understanding;2023-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3