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Head posture estimation method, system and equipment based on multi-scale lightweight network and medium

A head pose, lightweight technology, applied in the field of machine learning and computer vision, can solve the problems of large amount of calculation and low accuracy of head pose estimation, and achieve the effect of improving the accuracy, reducing the amount of computation, and enriching image features

Pending Publication Date: 2021-07-27
CHONGQING MEGALIGHT TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a head pose estimation method, system, device and medium based on a multi-scale lightweight network, which is used to solve the problems caused by the computational complexity of the existing head pose estimation methods. Large, leading to the problem of low accuracy of head pose estimation

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  • Head posture estimation method, system and equipment based on multi-scale lightweight network and medium

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Embodiment Construction

[0027] Embodiments of the present application are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0028] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic idea of ​​the application, and only the components related to the application are shown in the diagrams rather than the number, shape and Dimensional drawing,...

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Abstract

The invention provides a head attitude estimation method, system and device based on a multi-scale lightweight network, and a medium. The method comprises the following steps: obtaining a data set containing a head attitude, and preprocessing the data set; extracting the preprocessed data set by using a multi-scale convolutional network to obtain a corresponding feature map; training a lightweight network based on the feature map to obtain a MobileNet regression device model; and obtaining a head image of an image to be detected, and inputting the head image into the MobileNet regression device model for head posture prediction to obtain head posture information of the image to be detected. According to the method, the feature map in the data set is extracted by adopting the multi-scale convolution kernel, and the convolution kernels of different scales are used for extracting features of the input head posture image, so that the image features are enriched, the image information is reserved, and the accuracy of head posture estimation is improved; and meanwhile, the MobileNet regression device model is trained based on the lightweight network, and the calculation amount is greatly reduced on the premise that the network performance is not lost.

Description

technical field [0001] This application belongs to the field of machine learning and computer vision, and in particular relates to a head pose estimation method, system, device and medium based on a multi-scale lightweight network. Background technique [0002] Head pose estimation is generally defined in computer vision as the use of machine learning methods to estimate the relative deflection angle between the head and the camera in the image based on a digital image containing the head. Usually, the head pose of a person has three degrees of freedom. The directions are the yaw angle in the horizontal direction, the pitch angle in the vertical direction, and the rotation angle in the image plane, respectively. In the context of the needs of authentication, safe driving, and human-computer interaction, head pose estimation, as a key problem in these practical applications, has received increasing attention in the fields of computer vision and machine learning in recent year...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06N3/045G06F18/214Y02D10/00Y02T10/40
Inventor 彭德光唐贤伦
Owner CHONGQING MEGALIGHT TECH CO LTD
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