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  • 标题:The Comparative study of Automated Face replacement Techniques for Video
  • 本地全文:下载
  • 作者:Harmesh Sanghvi ; D.R. Kasat ; Sanjeev Jain
  • 期刊名称:International Journal of Advanced Computer Research
  • 印刷版ISSN:2249-7277
  • 电子版ISSN:2277-7970
  • 出版年度:2014
  • 卷号:4
  • 期号:14
  • 页码:319-324
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:For entertaining purposes, a computerized special effect referred to as “morphing” has enlarged huge attention and face replacement is one of the interesting tasks. Face replacement in video is a useful application in the amusement and special effect industries. Though various techniques for face replacement have been developed for single image and generally applied in animation and morphing, there are few mechanisms to spread out these techniques to handle videos automatically. Face replacement in video automatically is not only a fascinating application, but a challenging problem. For face replacement in video, the frame-by-frame manipulation process using the software is often time consuming and labor-intensive. Hence, the paper compares numerous latest Automatic face replacement techniques in video to understand the various problems to be solved, their shortcomings and benefits over others.
  • 关键词:Face replacement; Face detection; Face alignment; Face relighting; Blending; Morph-able Model .
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