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Digital labeling method and device for three-dimensional object

A technology of three-dimensional objects and labels, applied in image data processing, biological neural network models, image enhancement, etc., can solve the problems of low labeling accuracy, difficult knowledge labeling, difficult storage of labeling data, etc., to achieve automation and improve labeling Accurate, easy-to-storage effects

Active Publication Date: 2021-12-07
北京京航计算通讯研究所
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Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a method and device for digitally labeling three-dimensional objects to solve the problems in the prior art that it is difficult to label three-dimensional objects with knowledge, the labeling data is not easy to store, and the labeling accuracy is low.

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Embodiment Construction

[0052] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0053] method embodiment

[0054] A specific embodiment of the present invention discloses a method for digitally marking a three-dimensional object.

[0055] Such as figure 1 As shown, the method includes:

[0056] S110. Obtain 2D pictures, pose information and labeling labels of the 3D object at different angles to form a training sample set. Specifically, a two-dimensional image, pose information, and labels from one angle are a training sample, and these information from different angles form a training sample set. Wherein, annotation refers to knowledge annotation, and knowledge annot...

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Abstract

The invention relates to a digital labeling method and device for a three-dimensional object, belongs to the technical field of artificial intelligence, and solves the problems of high difficulty in knowledge labeling of the three-dimensional object and low labeling accuracy in the prior art. The method comprises the following steps: acquiring two-dimensional pictures, pose information and labeling labels of a three-dimensional object at different angles to form a training sample set; constructing an offset matrix and an enhanced angle rotation matrix of the sample based on the pose information in each sample; training the annotation network model by using the training sample set and the corresponding offset matrix and the enhanced angle rotation matrix to obtain an optimized annotation network model; and marking a to-be-marked three-dimensional object by using the optimized marking network model based on the two-dimensional picture and the pose information of the to-be-marked three-dimensional object. According to the method, the three-dimensional object labeling is converted into the two-dimensional labeling, the labeling difficulty is reduced, the association relationship between the labeling and the three-dimensional object is established through the artificial intelligence model, and the labeling accuracy of the three-dimensional object is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and device for digitally marking three-dimensional objects. Background technique [0002] In the existing technology, electronic components, printed food, aviation precision manufacturing, precision electronic parts, precision ceramic parts, product assembly link detection, product classification identification, product positioning detection, printed matter detection, bottle cap detection, glass, tobacco, art sculpture There are many physical models in various fields, and these physical models are all determined by the production process, lacking a consistent digital physical model. To obtain a digital physical model, the entity must be marked with knowledge. [0003] In the prior art, on the one hand, laser point cloud scanning is used for digital labeling; on the other hand, entity labeling is used, for example, a highlighter is used to mark on a three-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/20G06N3/04
CPCG06T19/20G06T2207/20081G06N3/045Y02T10/40
Inventor 宋明艳白洋张彤薛铸鑫王海鑫牛志超
Owner 北京京航计算通讯研究所
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