Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Global non-rigid registration and reconstruction method of deformable object

A non-rigid registration, global technology, applied in 3D modeling, graphics and image conversion, image data processing and other directions, can solve the problems such as the deformation of adjacent viewing angles cannot be large, the amount of calculation is large, and the time is long.

Active Publication Date: 2017-07-07
深圳市凌云视迅科技有限责任公司
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Dou et al. (Dou M, Taylor J, Fuchs H, et al. 3D scanning deformable objects with a singleRGBD sensor[C] / / Computer Vision and Pattern Recognition.IEEE, 2015:493-501.) designed a single Kinect A system that allows the target object to have a large deformation, but this system requires that the deformation of adjacent viewing angles cannot be large, and it has high complexity and a large amount of calculation, so it takes a long time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Global non-rigid registration and reconstruction method of deformable object
  • Global non-rigid registration and reconstruction method of deformable object
  • Global non-rigid registration and reconstruction method of deformable object

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] In order to solve the problems of the existing methods, it can deal with the deformation of the large motion of the three-dimensional target object. For this reason, the solution adopted by the present invention is a global non-rigid registration method based on sparse representation. Suppose there is a model with n perspectives, denoted as U 1 ,U 2 ,...,U n . For any model p, N is the number of points of model p; is the point homogeneous coordinates of . For a pair of adjacent models U p , U p+1 (for the last model U n , adjacent to which is U 1 ), using artificial or corresponding algorithms (such as "Tam G K L, Martin R R, Rosin P L, et al. Diffusionpruning for rapidly and robustly selecting global correspondences using localisometry[J].Acm Transactions on Graphics,2014,33(1) :57-76.”) Find the initial mapping relationship f between them p→p+1 , that is, the corresponding points, and then solve the non-rigid transformation X between them p , is a 3*...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the field of computer application, three-dimensional reconstruction and registration, and aims to process the deformation of large action of a three-dimensional target object. The technical scheme employed by the invention is that according to a global non-rigid registration and reconstruction method of a deformable object, n view models are assumed and are denoted by U1, U2 to Un. For any model p, Up={u[1], u[2],***, u[N]} , N is the number of points of the model p, u[i]=(x[i],y[i],z[i],1 ) is the homogeneous coordinates of a point u[i], for pair of adjacent models Up and U(p+1), for a last model Un, an adjacent model is U1, the initial mapping relation (shown in specification) among the models is found by humans or solving a corresponding relation algorithm, namely a corresponding point, then the non-rigid transformation Xp among the models is solved, Xp={X[1],X[2], ***, X[N]}, and X[i] is a 3*4 transformation matrix. The method is mainly applied to an occasion of processing the deformation of the large action of a three-dimensional target object.

Description

technical field [0001] The invention belongs to the field of computer application, three-dimensional reconstruction and registration, and in particular relates to a global non-rigid surface alignment and reconstruction method based on sparse representation. Background technique [0002] In the field of computer graphics and computer vision, dynamic 3D reconstruction is a hot research problem, which aims to recover the corresponding dynamic scene through single or multiple cameras. With the advent of commercial depth cameras, such as Microsoft's Kinect, it has become easier and cheaper to reconstruct a model and texture of a scene. Today, it is used in many fields, such as 3D printing, games and movies. [0003] In order to achieve dynamic 3D reconstruction, some research groups have designed some multi-camera systems. Li Kun et al. (Li K, Dai Q, Xu W.Markerless Shape and Motion Capture From Multiview VideoSequences.[J].IEEE Transactions on Circuits&Systems for Video Techno...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T3/00G06T17/00
CPCG06T17/00G06T3/14
Inventor 杨敬钰郭道亮李坤
Owner 深圳市凌云视迅科技有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products