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Face posture identification method based on statistical model

A face posture and recognition method technology, applied in the field of face image processing, can solve the problems of high computing cost and high cost, and achieve the effect of convenient image acquisition, low cost and good real-time performance

Inactive Publication Date: 2006-09-13
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0003] Through literature search of the prior art, Jeffrey Ng et al. (Jeffrey Ng, Shaogang GongComposite support vector machines for detection of faces across views and poseestimation, Image and Vision Computing, 20(5-6), 2002: 359-368) ( Synthetic support vector machine is used for multi-view face detection and pose estimation), Image and Vision Computing (Image and Vision Computing), 20(5-6), 2002: 359-368), this method has a high computational cost, Moreover, a large number of images of different poses of different people are required as training samples, so the cost is relatively high

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  • Face posture identification method based on statistical model
  • Face posture identification method based on statistical model
  • Face posture identification method based on statistical model

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Embodiment Construction

[0013] The technical solution of the present invention will be further described in detail below in conjunction with specific embodiments.

[0014] The realization method of the face gesture recognition based on the statistical model of the present invention is carried out as follows: according to the above-mentioned attached figure 1 , the whole invention is divided into two parts: the training phase and the testing phase.

[0015] First, the specific steps of the training phase are described:

[0016] 1. First, the feature point coordinates of the face form a vector: X m = ( x 1 m , y 1 m , x 2 m , y 2 m , . ...

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Abstract

A method for identifying human face attitude based on statistic model includes labeling out character points on human face, knowing shape variation of human face by utilizing labeled character points when human face is rotated in depth direction, using triangular function to present variation angle of human face attitude, seeking out angle mapping of shape variation to attitude variation for identifying human face attitude by checking variation of human face character.

Description

technical field [0001] The present invention relates to a method in the technical field of face image processing, in particular, it relates to a method for calculating face poses based on statistical models, which can be directly applied to three-dimensional face recognition, human-computer interaction, face tracking, 3D animation etc. Background technique [0002] Facial pose determination is an important research field in human-computer interaction. In human-computer interaction, a very important issue is how to determine the focus of human attention, which can be inferred from the rotation angle of the human head in the depth direction and the gaze direction of the eyes. Therefore, in general the gaze direction of the head and eyes is obtained by calculating the rotation angle of the face. More importantly, a person's mood state and his vigilance level can also be inferred from the orientation of the face, for example, by tracking the orientation of the face over multip...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/64
Inventor 戈新良杨杰杜春华张田昊
Owner SHANGHAI JIAO TONG UNIV
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