Key size automatic extraction method in three dimensional human body measurement

A key size, body measurement technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of difficult to obtain detailed data, insufficient to describe the human body shape, low measurement accuracy, etc., to achieve good guidance The effect of reference

Pending Publication Date: 2017-04-19
THE INST OF AUTOMATION HEILONGJIANG ACADEMY OF SCI
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Problems solved by technology

Some of these software can measure the distance between the most basic straight line and curve, or some can measure the local volume, but the accuracy of the measurement is relatively low, and there are few measured data items, such as body surface angle or local (chest) It is difficult to obtain detailed data, so the existing three-dimensional system me

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Embodiment Construction

[0012] The following clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0013] In an embodiment of the present invention, a method for automatically extracting key dimensions in 3D anthropometric measurement includes the following steps: 1) Obtaining 3D point cloud data of human body shape through high-definition camera scanning, and performing superpixel segmentation on the acquired human body front and side images Segmentation, further extracting the edge coordinate points of the section where the key dimensions of the human body are measured according to the curvature; 2) automatically converting the ...

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Abstract

The present invention discloses a key size automatic extraction method in three dimensional human body measurement. The method comprises the following steps of 1) scanning and obtaining the three dimensional point cloud data of the human body morphology via a high definition camera, segmenting the obtained human body right side and side images by the super-pixel segmentation, and further extracting and measuring the edge coordinate points of a cross-section in which the human body key size is located according to the curvature; 2) automatically transforming the three dimensional point cloud data into the two-dimensional image data, wherein the two-dimensional image data comprises a right side projection image, a side projection image and a backside projection image, and standardizing and adjusting the two-dimensional image data. The method of the present invention can better solve a human body contour accurate extraction problem, has the very good guidance and reference significance for the three dimensional measurement in the other application fields, and has a certain application value.

Description

technical field [0001] The invention relates to a dimension extraction method, in particular to an automatic extraction method for key dimensions in three-dimensional human body measurement. Background technique [0002] At present, in the field of human body shape measurement, 3D scanning technology is widely used, mainly in data collection and acquisition. Although there are many 3D systems or software that can open and process 3D data, most of them belong to the category of reverse engineering modeling, not specialized measurement systems or software. Some of these software can measure the distance between the most basic straight line and curve, or some can measure the local volume, but the accuracy of the measurement is relatively low, and there are few measured data items, such as body surface angle or local (chest) It is difficult to obtain detailed data, so the data measured by the existing three-dimensional system is far from enough to describe the shape of the huma...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06T3/00G06K9/40
CPCG06T3/0031G06V40/103G06V10/267G06V10/30G06V10/44
Inventor 丛晓丹杨东亮杨洋王云龙吴冈邢娜卜亚清
Owner THE INST OF AUTOMATION HEILONGJIANG ACADEMY OF SCI
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