NDLI: PCA expression recognition based on false geodesic distance

Content Provider	IEEE Xplore Digital Library
Author	Kezheng Lin Jingtian Li Shu Li
Copyright Year	2013
Description	Author affiliation: College of Computer Science and Technology, Harbin University of Science and Technology, China (Kezheng Lin; Jingtian Li; Shu Li)
Abstract	Expression recognition is a branch of face recognition. This paper describes how a 3D model is rebuilt from 2D static face image through specific algorithm and how the principle component better representing face characteristics is obtained by collecting geometrical characteristic information manifesting emotional variations through false geodesic distance in 3D space and eliminating the relativity of the characteristics extracted through Principal Component Analysis (PCA). At last the emotional mode of the samples to be tested shall be identified through distance test method by computing the Mahalanobis Distance between the test sample to be tested and the training sample.
Starting Page	1
Ending Page	4
File Size	232398
Page Count	4
File Format	PDF
ISBN	9781479916603
DOI	10.1109/ANTHOLOGY.2013.6784816
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Three-dimensional displays Face recognition Emotion face recognition False geodesic distance Educational institutions Vectors Face Principal Component Analysis Introduction Principal component analysis
Content Type	Text
Resource Type	Article

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