Efficient mesh-based face beautifier on mobile devices
Pages 169 - 173
Abstract
In this paper, we focus on the modification of facial shapes for the purpose of efficient face beautification. The pursuit of beautiful appearance for human greatly inspires related studies. We utilize Laplacian to characterize facial geometry and adjust triangular meshes neighboring facial contour in order to beautify faces while preserving major structures. The proposed method requires a small amount of local computations and no additional storage for training, which renders efficient implementation applicable for mobile devices. We develop the system on an intelligent mobile platform and the performance is validated by a survey on 70 facial images since no objective metric for beauty exists. Twenty volunteers are invited to grade the results labeled as level 1, 2 and 3 that stand for worse, unchanged and better, respectively. The results show that 81.50% of inputs are believed becoming more beautiful, and another 10.07% of them are considered unchanged.
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Index Terms
- Efficient mesh-based face beautifier on mobile devices
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Information & Contributors
Information
Published In
August 2013
419 pages
ISBN:9781450322522
DOI:10.1145/2499788
- Conference Chair:
- Tat-Seng Chua,
- General Chairs:
- Ke Lu,
- Tao Mei,
- Xindong Wu
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Sponsors
- NSF of China: National Natural Science Foundation of China
- University of Sciences & Technology, Hefei: University of Sciences & Technology, Hefei
- Beijing ACM SIGMM Chapter
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 August 2013
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- Research-article
Conference
ICIMCS '13
Sponsor:
- NSF of China
- University of Sciences & Technology, Hefei
ICIMCS '13: International Conference on Internet Multimedia Computing and Service
August 17 - 19, 2013
Huangshan, China
Acceptance Rates
ICIMCS '13 Paper Acceptance Rate 20 of 94 submissions, 21%;
Overall Acceptance Rate 163 of 456 submissions, 36%
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