Method and system for identifying and positioning three-dimensional object

A three-dimensional object, three-dimensional technology, applied in the field of intelligent recognition and positioning systems, can solve the problems of low recognition accuracy, low efficiency, and high cost of object acquisition and recognition

Pending Publication Date: 2020-11-20
MARVEL DIGITAL AI LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

These prior art methods are not efficient and the cost of object acquisition and recognition is still high, while having low recognition accuracy

Method used

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  • Method and system for identifying and positioning three-dimensional object
  • Method and system for identifying and positioning three-dimensional object
  • Method and system for identifying and positioning three-dimensional object

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Embodiment Construction

[0064] Specific embodiments of the present invention will now be described in conjunction with the corresponding drawings. However, this invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided only so that the present invention will be thorough and complete so that those skilled in the art can fully describe the scope of the present invention. Wording used in the detailed description of the embodiments illustrated in the drawings should not limit the invention.

[0065] figure 1 It is a flowchart 100 of the three-dimensional object recognition and localization system of the present invention. Wherein, in step 101, the three-dimensional image information is obtained through the microlens array in the light field camera; in step 102, the obtained three-dimensional light field image is subjected to image reconstruction through the decoding step, and the reconstructed light field...

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Abstract

The invention discloses a method and a system for identifying and positioning a three-dimensional object. The method comprises the following steps: acquiring a three-dimensional light field image through a micro-lens array in a light field camera; carrying out image reconstruction on the obtained three-dimensional light field image through a decoding step, combining the reconstructed light field images to carry out refocusing so as to obtain a high-resolution image, and calculating a depth map corresponding to the high-resolution image; performing convolutional neural network training on the obtained high-resolution image to extract features of all targets in the image; performing target detection on the reconstructed light field image by using a target detection model established by a convolutional neural network; then, recognizing the obtained target; and finally, calculating the actual distance and positioning of the identified object through the corresponding depth map. According to the method and the system provided by the invention, high-resolution images can be shot in real time, and deep learning model training is carried out on the data through a visual intelligent technology, so that not only can objects in photos and / or videos be accurately identified, but also the positions of the objects can be accurately determined through the calculated depth maps.

Description

technical field [0001] The invention belongs to the field of intelligent identification and positioning, in particular to a system and method for intelligent identification and positioning of three-dimensional objects. Background technique [0002] The methods and devices used in the prior art for three-dimensional object recognition include those disclosed in the Chinese invention patent application 201610712507.9: convolving the object image or the feature map obtained by convolving the object image; convolving the object image or the feature map The result of the linear transformation is carried out linear transformation; the result of the linear transformation is used as the input of the three-dimensional deformation model, and the output of the three-dimensional deformation model is the position point to be extracted in the object image; according to the position point output by the three-dimensional deformation model, in the object image or Extracting features from the...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/20G06K9/46G06N3/04G06N3/08G06T7/50G06T7/73
CPCG06T7/73G06T7/50G06N3/084G06V20/64G06V10/147G06V10/464G06N3/045
Inventor 李应樵马志雄
Owner MARVEL DIGITAL AI LTD
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