Distributed AR data transmission method

A data transmission method and distributed technology, applied in character and pattern recognition, instruments, electrical components, etc., can solve problems such as unrealistic, large number of training samples, complex method implementation, etc., to reduce power consumption, and the algorithm is simple and easy to implement Effect

Inactive Publication Date: 2018-09-04
四川意高汇智科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The usual experimental results show that SVM has a better recognition rate, but it requires a large number of training samples (300 per class), which is often unrealistic in practical applications
Moreover, the support vector machine takes a long time to train, and the method is complicated to implement. There is no unified theory for the method of this function.

Method used

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  • Distributed AR data transmission method
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Examples

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Embodiment Construction

[0028] The distributed AR data transmission method of the present invention includes the following steps:

[0029] (10) Perform distributed user image facial recognition of objects located around the predetermined user as distributed AR data;

[0030] (20) obtaining the first preset time and the second preset time;

[0031] (30) When the transmission interval is less than the preset time threshold, collect and transmit the distributed AR data in the first preset method related to the first preset time, otherwise in the second preset method related to the second preset time Collect and transmit distributed AR data.

[0032] Preferably, the first preset time in the step (20) is longer than the second preset time, and the first preset mode is a sampling mode with a sampling frequency higher than that in the second preset mode.

[0033] Preferably, said step (10) includes:

[0034] 1. To read the face image data of a person, first, multiple cameras from multiple angles are used...

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Abstract

The invention provides a distributed AR data transmission method, and aims at reducing the complexity of face recognition. Processing of the face recognition data and feature extraction of the face texture information can be accurately realized. Meanwhile, multiple defects existing in the prior art can be overcome and the algorithm is relatively simple and easy to implement.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a distributed AR data transmission method. Background technique [0002] Face recognition refers specifically to computer technology that uses analysis and comparison. Face recognition is a popular computer technology research field, face tracking detection, automatic adjustment of image magnification, night infrared detection, automatic adjustment of exposure intensity; ) to distinguish individual organisms by their own biological characteristics. [0003] Face recognition technology is based on the facial features of a person, and the input face image or video stream is processed. First judge whether there is a human face, if there is a human face, then further give the position, size and position information of each major facial organ of each face. Based on this information, the identity features contained in each face are further extracted, and compare...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04N13/20H04N13/296H04N13/194
CPCG06V40/16G06V40/171
Inventor 张悠陈熹
Owner 四川意高汇智科技有限公司
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