Method and device for gesture identification based on substantial feature point extraction

A feature point extraction and gesture recognition technology, applied in the field of recognition, can solve problems such as insufficient recognition accuracy, and achieve the effects of low computational complexity, suppression of noise interference, and low dimensionality of feature parameters

Active Publication Date: 2017-09-26
SUZHOU UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Typical algorithms include SC, FEMD, etc., but the recognition accuracy is not enough

Method used

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  • Method and device for gesture identification based on substantial feature point extraction
  • Method and device for gesture identification based on substantial feature point extraction
  • Method and device for gesture identification based on substantial feature point extraction

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Experimental program
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Embodiment 1

[0052] Embodiment one: see figure 1 Shown, a kind of gesture recognition method, described method comprises the steps:

[0053] S1. Obtain the contour of the gesture to be recognized, and obtain the point sequence natural numbers and coordinates of all contour points on the contour;

[0054] It should be noted that the number of contour points is the number of all points on the contour, and its specific value is determined according to the actual situation, and the contour features that completely represent the shape of the gesture shall prevail.

[0055] In a digital image, the edge of a shape can be represented by a series of contour points with coordinate information, and the set S of the wheel library points of the target shape in the embodiment of the invention can be expressed as:

[0056] ,

[0057] Among them, n represents the length of the contour, that is, the number of contour points; Indicates the i-th contour point in the sequence of contour points, and has...

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Abstract

The present invention discloses a method and device for gesture identification based on substantial feature point extraction. The device comprises: an extraction module configured to obtain shape of a gesture to be identified, extract an unclosed contour from the edges of the shape of the gesture to be identified and obtain coordinates of all the contour points on the contour; a calculation module configured to calculate the area parameters of each contour point, perform screening of the contour points according to the area parameters, extract the substantial feature points and take the area parameters of a substantial feature point sequence and the point sequence parameters after normalization as the feature parameters of the contour; and a matching module configured to facilitate the feature parameters of the substantial feature points, perform matching of the gestures to be identified and templates in a preset template library, obtain the optimal matching template of the gesture to be identified and determine the type of the optimal matching template as the type of the gesture to be identified. The method and device for gesture identification based on the substantial feature point extraction have good performances such as translation invariance, rotation invariance, scale invariance and hinging invariance while effectively extracting and expressing gesture shape features so as to effectively inhibit noise interference.

Description

technical field [0001] The invention relates to a gesture recognition method and device based on salient feature point extraction, belonging to the technical field of recognition. Background technique [0002] Gesture recognition is an important research topic in the field of computer vision, and has a wide range of applications in the field of human-computer interaction, including virtual reality, sign language recognition, and human-computer games. [0003] In the past, the development of gesture recognition was restricted by the backwardness of the acquisition equipment. The background of the acquired gesture image was messy, seriously affected by the light, and gesture extraction was difficult. The emergence of data gloves solves the problems of lighting and background, but it still cannot be widely used because it limits the natural expression of gestures and the equipment is expensive. With the development of depth cameras, the gesture recognition technology with Kine...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/28G06V10/44G06F18/22
Inventor 杨剑宇何溢文朱晨徐浩然
Owner SUZHOU UNIV
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