Finger gesture recognition method based on field depth image

Abstract

The invention discloses a finger gesture recognition method based on a field depth image. The finger gesture recognition method comprises the steps that a field depth camera is started, and field depth video data are obtained; a man hand length is deduced, and a palm position and hand length data are determined; a hand spherical zone image is subjected to segmenting and cutting, and preprocessing is carried out; and fingertip recognition is carried out, and gesture recognition is carried out according to geometrical relationship. According to the method, a hand zone is obtained by cutting quickly based on the features of the field depth image, analyzing and processing are only carried out on a target zone, operation complexity is lowered, adaptability on dynamic field changing is good, a contour maximum concave point scanning algorithm is used for fingertip recognition, the robustness of fingertip recognition is improved, after a fingertip is accurately recognized, fingers are recognized according to the direction vectors of the fingers and the geometrical relationship of the fingers, and accordingly recognition of various gestures is provided. The method is simple, flexible and easy to achieve.

Description

technical field [0001] The invention belongs to the field of human-computer interaction, and in particular relates to a finger gesture recognition method based on a depth of field image. Background technique [0002] At present, gesture recognition methods at home and abroad are roughly divided into two categories, based on wearable devices and based on traditional vision. Gesture recognition based on wearable devices is to obtain finger movement characteristic data from sensors such as data gloves and position trackers, and transmit it to the computer while using neural networks to analyze joint data to obtain gestures to achieve human-computer interaction. The main advantage is that it can measure the posture and gesture of fingers, but it is relatively expensive, which is not conducive to mass promotion and application. The method based on traditional visual recognition uses ordinary cameras to collect gesture video or image information, and then performs recognition pro...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the existing gesture and finger recognition methods in human-computer interaction have the disadvantages of poor or too complicated external lighting conditions, which make the appearance of skin color change greatly and are not credible, require high background complexity and a large amount of calculation In order to solve the problem of low performance, a finger gesture recognition method based on depth-of-field images is provided. According to the characteristics of depth-of-field images, the method uses corresponding algorithms to quickly locate the hands in the image and video streams, identify fingertips, and finally successfully recognize gestures. Thereby improving the flexibility and simplicity of human-computer interaction

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