Automatic Face Composition selection using perception based

Authors

  • Jaturong Mahaisavariya Graduate School of Applied Statistics National Institute of Development Administration
  • Tanasai Sucontphunt Graduate School of Applied Statistics National Institute of Development Administration

Keywords:

Face Recognition, Perception-based, Cartoon face

Abstract

This research presents experiment evaluation of algorithms to selecting the appropriate facial cartoon shapes for generating cartoon face by using only one photo without human decision. Each algorithm which has highest precision from selecting testing data compare with shapes selected by specialist who specialize in composing cartoon face. Form the experiment, the most accurate classifier and observation will consider as the most appropriate algorithm for selecting each facial component i.e. eye brow used CentroidVectorLength and Neural Net, eye used CrossVectorLength and Decision Tree, Face shape used CrossVectorLength and Decision Tree, mouth used CentroidVectorAngle and Decision Tree and nose used CentroidVectorLength and Decision Tree.  Even system cannot replace into all automatic system but this work can be applied to various applications such as game, social media and entertainment business.

References

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Published

2018-12-31

How to Cite

Mahaisavariya, J., & Sucontphunt, T. (2018). Automatic Face Composition selection using perception based. Journal of Applied Statistics and Information Technology, 3(2), 31–43. Retrieved from https://ph02.tci-thaijo.org/index.php/asit-journal/article/view/195455

Issue

Vol. 3 No. 2 (2018): Journal of Applied Statistics and Information Technology Vol 3 No 2 (July - December 2018)

Section

Research Articles

License

เนื้อหาและข้อมูลที่ปรากฏในบทความที่ตีพิมพ์ในวารสารสถิติประยุกต์และเทคโนโลยีสารสนเทศถือเป็นความคิดเห็นส่วนบุคคลของผู้เขียนแต่ละท่าน ความผิดพลาดของข้อความและผลที่อาจเกิดจากนำข้อความเหล่านั้นไปใช้ผู้เขียนบทความจะเป็นผู้รับผิดชอบแต่เพียงผู้เดียว บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารถือเป็นลิขสิทธิ์ของวารสาร หากบุคคลหรือหน่วยงานใดต้องการนำทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่ต่อหรือเพื่อกระทำการใดๆ จะต้องได้รับอนุญาตเป็นลายลักอักษรณ์จากวารสาร ก่อนเท่านั้น