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3D gesture recognition method

A gesture recognition and 3D technology, applied in the field of 3D gesture recognition, can solve the problems that the human-computer interaction method is not convenient and fast, and cannot be realized, and achieve the effect of enriching the human-computer interaction method, improving the recognition rate, and expanding the human-computer interaction method

Active Publication Date: 2013-09-11
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0003] The purpose of the present invention is to provide a 3D gesture recognition method to solve the problem that the existing human-computer interaction method is not convenient and fast enough, and cannot be realized in a complex environment

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[0036] figure 1 An embodiment of a 3D gesture recognition method of the present invention is shown, figure 1 The middle part is a block diagram, and the two sides are concrete examples: a 3D gesture recognition method, comprising the following steps:

[0037] Step 1, obtaining RGB images and depth images from image input devices as training samples;

[0038] Step 2: Detection and segmentation of human hands by setting an adaptive dynamic depth threshold;

[0039] Step 3, remove the arm through the image morphology operation, and obtain the center position of the palm;

[0040] Step 4, get the gesture contour through edge extraction, and use the time series curve to describe the gesture contour;

[0041] Step 5: Obtain the position of the fingertip and the position of the finger connection point in the gesture through image morphology operations, segment the curve at the corresponding position of the time series curve, and perform a specific combination of the ...

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Abstract

The invention relates to the field of computer vision and human-computer interaction, in particular to a 3D gesture recognition method. The 3D gesture recognition method comprises the following steps that an RGB image and a depth image are acquired from an image input device and used as training samples; detection and division of a hand image are conducted according to a self-adaptive dynamic depth threshold value; arms in the hand image are removed through image morphology operation to acquire central positions of palms; a gesture outline is obtained through edge extraction and described through a time sequence curve; fingertip positions and finger connection point positions in a gesture are acquired through the image morphology operation, division of the time sequence curve is conducted at corresponding positions of the time sequence curve, and the time sequence curves of fingers are subjected to specific combination to obtain a finger describer. By means of the 3D gesture recognition method, natural interaction with a computer is realized, a traditional human-computer interaction mode is expanded effectively, and the recognition rate is increased greatly and can reach 99%.

Description

technical field [0001] The invention relates to the fields of computer vision and human-computer interaction, in particular to a 3D gesture recognition method. Background technique [0002] With the development of computer technology, human-computer interaction has become an indispensable part of people's life, but most of the interaction is based on the two-dimensional interaction technology of mouse, keyboard, handheld device and window interface. How to make the interaction more Nature has become a hot research topic in recent years. As one of the main means of human interaction, gestures have a history even earlier than spoken language, so using gestures as human-computer interaction will be more friendly, convenient, concise, and intuitive, and it will naturally become an extension of traditional human-computer interaction. To recognize gestures, you must first perceive them. There are currently three sensing devices for sensing gestures: sensing devices based on handh...

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Application Information

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IPC IPC(8): G06K9/00G06F3/01
Inventor 程洪代仲君
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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