Paper Info
Title
Non-rigid Shape Registration Using Similarity-Invariant Differential Coordinates
Abstract
We present a method of modeling the three-dimensional shape of a deforming object from a time-series of range images. A non-rigid variant of ICP algorithm is proposed to solve the correspondence between the range images. The deformation is modeled by the combination of piecewise similarity transformation using differential coordinates, and solved stably and efficiently by alternating minimization of a quadratic objective function. The performance of the proposed method is demonstrated by conducting two modeling tasks. First, the complete shapes of human hand and full-body are reconstructed by integrating the range images acquired by a single depth camera. Second, the shape completion of four-dimensional scan data is carried out by fitting a template model to the point clouds by extending our registration technique in the spatiotemporal domain.
Year
DOI
Venue
2013
10.1109/3DV.2013.33
Seattle, WA
Keywords
Field
DocType
deforming object,icp algorithm,similarity-invariant differential coordinates,non-rigid shape registration,complete shape,human hand,shape completion,modeling task,three-dimensional shape,non-rigid variant,range image,image registration,curve fitting,independent component analysis,minimisation,time series,image reconstruction
Iterative reconstruction,Computer vision,Matrix similarity,Curve fitting,Artificial intelligence,Independent component analysis,Invariant (mathematics),Point cloud,Piecewise,Mathematics,Image registration
Conference
Citations 
PageRank 
References 
3
0.38
17
Authors
3
Name
Order
Citations
PageRank
Shuntaro Yamazaki121015.74
Satoshi KAGAMI21285160.65
Masaaki Mochimaru316224.08