CN104463945A - Human body posture rebuilding method - Google Patents

Human body posture rebuilding method Download PDF

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Publication number
CN104463945A
CN104463945A CN201310599396.1A CN201310599396A CN104463945A CN 104463945 A CN104463945 A CN 104463945A CN 201310599396 A CN201310599396 A CN 201310599396A CN 104463945 A CN104463945 A CN 104463945A
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China
Prior art keywords
human body
dimensional
image
data
skeleton
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Withdrawn
Application number
CN201310599396.1A
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Chinese (zh)
Inventor
陈拥权
张羽
李梁
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Hefei Huanjing Information Technology Co., Ltd.
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ANHUI COSWIT INFORMATION TECHNOLOGY Co Ltd
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Priority to CN201310599396.1A priority Critical patent/CN104463945A/en
Publication of CN104463945A publication Critical patent/CN104463945A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a human body posture rebuilding method, and relates to the technical field of human body postures. The human body posture rebuilding method comprises the steps that firstly, a pure human body movement database is downloaded; secondly, a human body skeleton image is established; thirdly, a three-dimensional human body skeleton model is established; fourthly, joints of the established three-dimensional human body skeleton model are traced; fifthly, the image is compared and corrected; sixthly, the human body posture is rebuilt in a three-dimensional mode. According to the human body posture rebuilding method, the rebuilding steps can be simplified, cost is low, operation is easy and convenient, and rebuilding is quick, easy and convenient.

Description

A kind of human body posture reconstruction method
 
Technical field:
The present invention relates to human body attitude technical field, be specifically related to a kind of human body posture reconstruction method.
Background technology:
Human motion capture technology is widely applied to cartoon making, film special efficacy, and the entertainment field such as computer game bring huge economic benefit.Although current various business capture systems can carry out following the tracks of and recording human motion with very high spatial and temporal resolution, but (dress pretty troublesome owing to needing the software of very high cost, equipment and data acquisition, business machine needs user to dress 40-50 the reflective marker point be carefully placed with usually, or 18 magnetic force or inertial sensor), in addition, they can have special requirement and restriction to the performer of performance and collection environment usually, cause them to be not suitable for family expenses; Its complex steps of existing human body posture reconstruction method, and the equipment needed is costly, and cost is high.
Summary of the invention:
The object of this invention is to provide a kind of human body posture reconstruction method, it can simplify the step of reconstruction, and cost is low, easy and simple to handle, rebuilds quick, easy.
In order to solve the problem existing for background technology, the present invention adopts following technical scheme: its method for reconstructing is:
(1), downloading pure human body movement data storehouse: downloading data library information, is TRC form by the data of the database of download from BVH format conversion;
(2), human skeleton image is set up: select human skeleton image by the image being converted into TRC form, then mark in each articulation point, then coupled together by gauge point, obtain two-dimension human body skeleton pattern;
(3) three-dimensional human skeleton model, is set up: the two-dimension human body skeleton pattern obtained in step (two) is carried out each attitude and carries out translation and rotational transform, export translation and rotational transform after exercise data index building, extract the data of corresponding articulation point, set up three-dimensional human skeleton model by data;
(4), to the articulation point setting up three-dimensional human skeleton model follow the tracks of: by needing the articulation point of following the tracks of to mark, obtaining new node by tracing, new node is transformed into new two dimensional image;
(5), the comparison of image and correction: two-dimension human body skeleton pattern and new two dimensional image are compared and obtains final two dimensional image after correcting;
(6), human body attitude three-dimensional reconstruction: final two dimensional image is converted to three-dimensional framework model with the method for parameter estimation of scaled orthographic projection model.
The present invention has following beneficial effect: can simplify the step of rebuilding, and cost is low, easy and simple to handle, rebuilds quick, easy.
Embodiment:
This embodiment adopts following technical scheme: its method for reconstructing is:
(1), downloading pure human body movement data storehouse: downloading data library information, is TRC form by the data of the database of download from BVH format conversion;
(2), human skeleton image is set up: select human skeleton image by the image being converted into TRC form, then mark in each articulation point, then coupled together by gauge point, obtain two-dimension human body skeleton pattern;
(3) three-dimensional human skeleton model, is set up: the two-dimension human body skeleton pattern obtained in step (two) is carried out each attitude and carries out translation and rotational transform, export translation and rotational transform after exercise data index building, extract the data of corresponding articulation point, set up three-dimensional human skeleton model by data;
(4), to the articulation point setting up three-dimensional human skeleton model follow the tracks of: by needing the articulation point of following the tracks of to mark, obtaining new node by tracing, new node is transformed into new two dimensional image;
(5), the comparison of image and correction: two-dimension human body skeleton pattern and new two dimensional image are compared and obtains final two dimensional image after correcting;
(6), human body attitude three-dimensional reconstruction: final two dimensional image is converted to three-dimensional framework model with the method for parameter estimation of scaled orthographic projection model.
This embodiment has following beneficial effect: can simplify the step of rebuilding, and cost is low, easy and simple to handle, rebuilds quick, easy.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (1)

1. a human body posture reconstruction method, is characterized in that its method for reconstructing is:
(1), downloading pure human body movement data storehouse: downloading data library information, is TRC form by the data of the database of download from BVH format conversion;
(2), human skeleton image is set up: select human skeleton image by the image being converted into TRC form, then mark in each articulation point, then coupled together by gauge point, obtain two-dimension human body skeleton pattern;
(3) three-dimensional human skeleton model, is set up: the two-dimension human body skeleton pattern obtained in step (two) is carried out each attitude and carries out translation and rotational transform, export translation and rotational transform after exercise data index building, extract the data of corresponding articulation point, set up three-dimensional human skeleton model by data;
(4), to the articulation point setting up three-dimensional human skeleton model follow the tracks of: by needing the articulation point of following the tracks of to mark, obtaining new node by tracing, new node is transformed into new two dimensional image;
(5), the comparison of image and correction: two-dimension human body skeleton pattern and new two dimensional image are compared and obtains final two dimensional image after correcting;
(6), human body attitude three-dimensional reconstruction: final two dimensional image is converted to three-dimensional framework model with the method for parameter estimation of scaled orthographic projection model.
CN201310599396.1A 2013-11-25 2013-11-25 Human body posture rebuilding method Withdrawn CN104463945A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310599396.1A CN104463945A (en) 2013-11-25 2013-11-25 Human body posture rebuilding method

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Application Number Priority Date Filing Date Title
CN201310599396.1A CN104463945A (en) 2013-11-25 2013-11-25 Human body posture rebuilding method

Publications (1)

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CN104463945A true CN104463945A (en) 2015-03-25

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104899927A (en) * 2015-07-07 2015-09-09 安徽瑞宏信息科技有限公司 Human posture reconstruction method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1725246A (en) * 2005-07-14 2006-01-25 中国科学院计算技术研究所 A kind of human body posture deforming method based on video content
CN101246602A (en) * 2008-02-04 2008-08-20 东华大学 Human body posture reconstruction method based on geometry backbone
US20090252423A1 (en) * 2007-12-21 2009-10-08 Honda Motor Co. Ltd. Controlled human pose estimation from depth image streams
CN103150752A (en) * 2013-02-02 2013-06-12 浙江大学 Key mark point-based human body posture sparse reconstruction method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1725246A (en) * 2005-07-14 2006-01-25 中国科学院计算技术研究所 A kind of human body posture deforming method based on video content
US20090252423A1 (en) * 2007-12-21 2009-10-08 Honda Motor Co. Ltd. Controlled human pose estimation from depth image streams
CN101246602A (en) * 2008-02-04 2008-08-20 东华大学 Human body posture reconstruction method based on geometry backbone
CN103150752A (en) * 2013-02-02 2013-06-12 浙江大学 Key mark point-based human body posture sparse reconstruction method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104899927A (en) * 2015-07-07 2015-09-09 安徽瑞宏信息科技有限公司 Human posture reconstruction method

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Application publication date: 20150325