Wrinkle detection system based on active appearance model
- Authors
- Umirzakova Sabina; 김승재; 황보택근; 박동균
- Issue Date
- Dec-2019
- Publisher
- 차세대컨버전스정보서비스학회
- Keywords
- wrinkle detection; active appearance model; Hessian matrix; Stroke detection
- Citation
- 차세대컨버전스정보서비스기술논문지, v.8, no.4, pp.385 - 395
- Journal Title
- 차세대컨버전스정보서비스기술논문지
- Volume
- 8
- Number
- 4
- Start Page
- 385
- End Page
- 395
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/19378
- DOI
- 10.29056/jncist.2019.12.01
- ISSN
- 2384-101X
- Abstract
- The facial wrinkle is a important feature of facial expression, automatic wrinkle detection has been an important topic in recent most works. Many wrinkle detection works focusing on detecting forehead wrinkle line, which are linear shapes, whereas cheek wrinkle lines has not been deeply studied, because of their shape complexity. In this paper presented an effective algorithm for automatic detection of wrinkle line, which largely consist of active appearance model based on wrinkle structure location. The proposed wrinkle detector is applied for real time application to identify early Stroke symptoms. Using unique initial shape instead of active appearance model mean shape, our experimental result got more accurate results than another shape models methods. Experimental results illustrated the competitiveness of the proposed method in detecting wrinkle lines with 92% accuracy.
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Collections - 의과대학 > 의학과 > 1. Journal Articles
- IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
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