A method and apparatus for recognizing static gestures

A gesture and static technology, applied in the field of pattern recognition, can solve the problems of reduced recognition accuracy, lack of rotation invariance, interference of recognition results, etc., and achieve the effect of accurate recognition results

Active Publication Date: 2018-12-14
BENEWAKE BEIJING TECH CO LTD
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Problems solved by technology

[0003] The two-dimensional gesture recognition algorithm is based on color information for segmentation, including skin color detection and edge extraction based on gray value. Its recognition accuracy is often closely related to background complexity, background color and skin color similarity and lighting conditions, and other parts of the body The color information of the two-dimensional gesture recognition algorithm will also interfere with the recognition results, so the accuracy of the two-dimensional gesture recognition algorithm needs to be improved
Neither the KNN algorithm nor the ANN algorithm has rotation invariance, that is, when the gesture rotates at a certain angle, the accuracy of recognition decreases

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  • A method and apparatus for recognizing static gestures
  • A method and apparatus for recognizing static gestures
  • A method and apparatus for recognizing static gestures

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Embodiment Construction

[0067] The static gesture recognition method disclosed in the embodiment of the present application is divided into a training part and a testing part, wherein the purpose of the training part is to train a classifier, and the purpose of the testing part is to use the trained classifier to classify and recognize test gestures.

[0068] In order to solve the problem that the accuracy of the recognition decreases when the gesture has a certain angle of rotation (rotation refers to the rotation of the test gesture at a certain angle compared with the sample), the core point of the technical solution described in this application is that from the gesture The features with rotation invariance are extracted from the depth image, so that the recognition algorithm has rotation invariance.

[0069] The static gesture depth images targeted by the following embodiments include but are not limited to three-dimensional point cloud images.

[0070] The following will clearly and completely ...

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Abstract

The present application provides a method and apparatus for recognizing static gestures. The method comprises the steps of: acquiring a static gesture depth image to be recognized, and extracting a foreground in the static gesture depth image to be recognized; extracting a rotation invariant feature from the target depth image, wherein the rotation invariant feature is obtained by performing rotation invariant processing on the depth values of the sample points in the target depth image; using a pre-trained classifier to determine the category of the gestures in the recognized static gesture depth image based on the rotation invariant feature. Since the rotation invariant feature has rotation invariance, the recognition result has rotation invariance, and therefore, a more accurate recognition result can be obtained.

Description

technical field [0001] The present application relates to the field of pattern recognition, in particular to a static gesture recognition method and device. Background technique [0002] Vision-based gesture recognition refers to recognizing the meaning represented by the gesture image through the acquired gesture image. Currently, gesture recognition algorithms include two-dimensional gesture recognition algorithms and three-dimensional gesture recognition algorithms. [0003] The two-dimensional gesture recognition algorithm is based on color information for segmentation, including skin color detection and edge extraction based on gray value. Its recognition accuracy is often closely related to background complexity, background color and skin color similarity and lighting conditions, and other parts of the body The color information of the two-dimensional gesture recognition algorithm will also interfere with the recognition results. Therefore, the accuracy of the two-dim...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04
CPCG06V40/113G06V10/462G06N3/045
Inventor 疏达李远冯强郑凯
Owner BENEWAKE BEIJING TECH CO LTD
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