A Global Non-rigid Registration and Reconstruction Method for Deformable Objects

Abstract

The invention belongs to the field of computer application, three-dimensional reconstruction and registration, and is used to realize the deformation of large movements of processing three-dimensional target objects. The technical solution adopted by the present invention is a global non-rigid registration and reconstruction method for deformable objects. It is assumed that there are models with n viewing angles, denoted as U 1 ,U 2 ,…,U n . For any model p, N is the number of points of the model p; it is the homogeneous coordinates of the points. For a pair of adjacent models U p ,U p+1 , for the last model U n , adjacent to it is U 1 , using artificial or corresponding algorithms to 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*4 transformation matrix. The invention is mainly used in processing deformation situations of large movements of three-dimensional target objects.

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...

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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

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