Hand posture estimation method and apparatus based on deep learning

A technology of deep learning and attitude estimation, applied in computing, computer components, instruments, etc., can solve problems such as difficult to restore attitude, attitude limitation, error, etc.

Active Publication Date: 2017-08-18
杭州易现先进科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the generative model is difficult to recover the posture after the hand tracking fails, and the speed is slow and the practicability is low
The generative method has a large amount of calculation, the accuracy is often low, and the discriminant method is faster, but the estimated result has a certain error, and the attitude is limited

Method used

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  • Hand posture estimation method and apparatus based on deep learning
  • Hand posture estimation method and apparatus based on deep learning
  • Hand posture estimation method and apparatus based on deep learning

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Embodiment Construction

[0106]The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present invention, rather than to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0107] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, device, method or computer program product. Therefore, the present disclosure may be embodied in the form of complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0108] The principle of the hand pose estimation method based on deep learning used in the ...

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Abstract

The embodiment of the present invention relates to the technical field of communication and computer, and provides a hand posture estimation method and apparatus based on deep learning. The hand posture estimation method based on deep learning includes the steps: performing hand interesting area detection on a depth image, and segmenting hand image from the hand interesting area; according to the hand image, acquiring a three-dimensional point cloud image of the hand; and utilizing the deep learning technology to perform hand posture estimation on the three-dimensional point cloud image of the hand. The hand posture estimation method based on deep learning avoids the operation of manually extracting the hand characteristics, and greatly improves the robustness of the hand posture estimation effect.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication and computer technologies, and more specifically, embodiments of the present invention relate to a method and device for estimating hand poses based on deep learning. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Human-computer interaction refers to the field that specializes in the study of the interactive relationship between systems and users. It plays an increasingly important role in daily life and can greatly improve user experience. Traditional human-computer interaction methods, such as mouse and keyboard, can satisfy a certain degree of interaction, but their convenience is greatly limited. Gesture recognition technology is a relatively important technology in hum...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/62
CPCG06V40/11G06V10/25G06V10/267G06F18/214
Inventor 张波丛林赵辰李晓燕
Owner 杭州易现先进科技有限公司
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