Cited by 233Face recognition and analysis3D Shape Modeling and AnalysisHuman Motion and Animation

High resolution passive facial performance capture

Bradley, Derek, Heidrich, Wolfgang, Popa, Tiberiu, Sheffer, Alla·2010·ACM Transactions on Graphics

Abstract

We introduce a purely passive facial capture approach that uses only an array of video cameras, but requires no template facial geometry, no special makeup or markers, and no active lighting. We obtain initial geometry using multi-view stereo, and then use a novel approach for automatically tracking texture detail across the frames. As a result, we obtain a high-resolution sequence of compatibly triangulated and parameterized meshes. The resulting sequence can be rendered with dynamically captured textures, while also consistently applying texture changes such as virtual makeup.

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Crossref · 10.1145/1778765.1778778

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  • One idea to evaluate registration without ground truth is to use image-based techniques [116] and compare the results with non-rigid registrations.

    “One idea is to use image-based techniques [116] and compare the results with non-rigid registrations.”

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References 41 · Cited by 233

Authors
Bradley, D., Heidrich, W., Popa, T., & Sheffer, A.
Affiliations
University of British Columbia (CA)
Venue
ACM Transactions on Graphics
Published
2010-07-26
Volume
29
Issue
4
Pages
1-10
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2104425538
Cited by
233
References
41
Citations by year
2025: 2 · 2024: 8 · 2023: 5 · 2022: 9 · 2021: 5 · 2020: 12 · 2019: 9 · 2018: 22 · 2017: 13 · 2016: 20 · 2015: 19 · 2014: 34 · 2013: 25 · 2012: 17
FWCI
27.84
Type
journal article
Language
en
Open access
closed
Locations
ACM Transactions on Graphics (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
  • Physical Sciences › Engineering › Control and Systems Engineering › Human Motion and Animation
Keywords
facial performance capture, multi-view stereo, triangular meshes, virtual makeup

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