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Multi-Spectrum Spontaneous Facial An...

Liu, Peng.

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Multi-Spectrum Spontaneous Facial Analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-Spectrum Spontaneous Facial Analysis./
作者:	Liu, Peng.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	140 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Contained By:	Dissertation Abstracts International78-12B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270628
ISBN:	9780355082111

Multi-Spectrum Spontaneous Facial Analysis.
Liu, Peng.

Multi-Spectrum Spontaneous Facial Analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 140 p.

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--State University of New York at Binghamton, 2017.

Visible spectrum imaging has been widely used for computer vision research in the past decades. One of the important applications is the automatic analysis of human facial behavior through videos in both two-dimensional and three-dimensional domains. Although a great achievement has been made in handling classic prototypical expressions, challenges remain in processing and identifying mixed and spontaneous expressions with a large ambiguity of facial appearances in different authentic emotions. Therefore, it is highly demanded to address the spontaneous facial expressions in the wild conditions with multiple spectrum data. The focus of this Ph.D. dissertation is to study how different spectral information could improve spontaneous facial analysis, especially in estimating large head pose variations and mixed spontaneous expressions with different modalities (e.g., thermal, infrared, 2D and 3D). I propose a new method to detect spontaneous head movements and pose variations in the wild. The head pose is further combined with the measurement of skin temperature to recognize the facial expressions. I further study the relationship of painful facial expression and physiological biomarker visually and physically.

ISBN: 9780355082111Subjects--Topical Terms:

523869
Computer science.

Multi-Spectrum Spontaneous Facial Analysis.
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