Facial feature point locating tracking method based on mobile platform

A face feature, mobile platform technology, applied in the field of computer vision, can solve the problems of slow processing speed, large memory consumption, high computational complexity, and achieve the effect of improving efficiency and good application prospects

Active Publication Date: 2014-01-15
NANJING UNIV OF INFORMATION SCI & TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing facial feature point positioning and tracking algorithms generally have high computational complexit

Method used

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  • Facial feature point locating tracking method based on mobile platform
  • Facial feature point locating tracking method based on mobile platform
  • Facial feature point locating tracking method based on mobile platform

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Embodiment Construction

[0020] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0021] Such as figure 1 As shown, the present invention can be divided into two stages of learning positioning and testing positioning, specifically, comprising the following steps:

[0022] Step 1. Labeling and standardization of training set feature points

[0023] The face calibration points involved in the present invention are selected according to the MPEG-4 standard. Because the 84 feature points defined by the face definition parameter FDP are too complicated, we have selected 61 of them as required, and discarded the seven points in the lips. points, only the feature points of the outer contour of the lips are used, and only eight feature points on the ...

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Abstract

The invention discloses an improved facial feature point locating tracking method. The performance of an algorithm is improved on multiple aspects as much as possible, large improvement is achieved especially on feature selecting, model training, locating tracking and the like, algorithm operation efficiency is greatly improved, and meanwhile the accuracy of locating tracking is guaranteed, and real-time detecting locating of facial feature points on a mobile platform can be achieved. The method is divided into a training stage and a matching stage. In the training stage, a global shape model, an angular point shape model, an eye shape model, a lip shape model, an angular point local grain model and a feature point local grain model are mainly learned. In the matching stage, a layering mechanism is used, and shape projection is in a weighting-projection mode. According to the method, efficiency is greatly improved, more than 25 frames can be located and tracked per second, and real-time locating tracking is achieved on the mobile platform.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a method for locating and tracking facial feature points, and more specifically, relates to a method for locating and tracking facial feature points based on a mobile platform. Background technique [0002] Face detection, tracking and feature point positioning technology, as the key technology of computer vision research, has been widely used in intelligent monitoring, identity recognition, expression analysis and other aspects. Face tracking refers to accurately detecting, identifying, and tracking a specific face in a series of video streams, so as to extract the tracking target's position, appearance and other parameters, analyze and understand the target and make respond accordingly. Facial feature location refers to the precise positioning of specific facial organs such as eyes, mouth, and nose in the face image, and obtaining their geometric parameters, so as to pro...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/66
Inventor 刘青山邓健康孙玉宝闫胜业
Owner NANJING UNIV OF INFORMATION SCI & TECH
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