Browse > Article
http://dx.doi.org/10.7583/JKGS.2020.20.5.13

Implementation of Immersive Interactive Content Using Face Recognition Technology - (Exhibition of ReneMagritte) Focused on 'ARPhotoZone'  

Lee, Eun-Jin (School of Global Media, Soongsil University)
Sung, Jung-Hwan (Depart of Media, Soongsil University)
Abstract
Biometric technology with the advance of deep learning enabled the new types of content. Especially, face recognition can provide immersion in terms of convenience and non-compulsiveness, but most commercial content has limitations that are limited to application areas. In this paper, we attempted to overcome these limitations, implement content that can utilize face recognition technology based on realtime video feed. We used Unity engine for high quality graphics, but performance degradation and frame drop occurred. To solve them, we augmented Dlib toolkit and adjusted the resolution image.
Keywords
Face Recognition; Immersive Interactive Content; Image Processing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Byung-Hwa Park and Se-Young Oh, "Influence of Facial Shape and Texture on Human Face Recognition", The HCI Society of Korea, 2017.2, pp.78 - 81, 2017.
2 Lee Young Ju and Junggyo Lee, "A Study on the Visual-Perceptive Seqence by the Color Contrast in Space Design", Journal of Korea Intitute of Spatial Design, vol.5, no.2, pp91-101, 2010.   DOI
3 Park Beom Geun, "Biometric Technology and Market Trends", S&T Market Report Vol.39, pp.1-28, 2016.
4 Kyoung Yul Bae, "Histogram Analysis for Performance Improvement of Face Recognition", J. Computer Software & Media Tech, 2003, Vol. 2. 200, pp.1-14, 2003.
5 Moon Hyun Joon, "Face Recognition: A Survey", HCI 2008, 2008.2, pp.1683-1688, 2008.
6 Shim, Yun Sun, "Constructing Metaphoric Media Space through Biometric Technology Convergence", The Korean Society of Science & Art 38, 2020.3, pp.219-229, 2020.   DOI
7 Byung-Joon Park, Wan-Tae Kim and Hyun-Sik Kim, "A study on face area detection using face features", Korea Information Electron Communication Technology, 2020.6, pp.206-211, 2020.
8 Hwang Won-joon, Kim Ji-hwan, Han Dong-yoon and Kim Joon-mo, "A Survey of Face Recognition Technique for Real Media Processing", Journal of Broadcast Engineering, Vol.19, No.3, pp.111-122, 2014.
9 Viola and Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", IEEE Computer Vision and Pattern Recognition, CVPR 2001, pp.1-8, 2001.
10 A. Zelinsky, "Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf]", in IEEE Robotics & Automation Magazine, vol. 16, no. 3, pp.100-100, 2009.   DOI
11 Davis E. King, "Dlib-ml: A Machine Learning Toolkit", Journal of Machine Learning Research 10, 2009, pp.1755-1758, 2009.
12 N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection", 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'05, pp.886-893, 2005.