(44-1) 09 * << * >> * Russian * English * Content * All Issues
  
An efficient algorithm  for non-rigid object registration
A. Makovetskii 1, S. Voronin 1, V. Kober 1, A. Voronin 1
 1 Chelyabinsk State University, ul. Bratiev Kashirinykh, 129, 454001, Chelyabinsk, Russia
 
 PDF, 509 kB
  PDF, 509 kB
DOI: 10.18287/2412-6179-CO-586
Pages: 67-73.
Full text of article: English language.
 
Abstract:
An efficient algorithm  for registration of two non-rigid objects based on geometrical transformation  of the template object to target object is proposed. The transformation is  considered as warping of the template onto the target. To choose the most  suitable transformation from all possible warps, a registration algorithm  should satisfy deformation constraints referred to as regularization of  non-rigid objects. In this work, we use variational functionals for affine  transformations. With the help of computer simulation, the proposed method for  searching the optimal geometrical transformation is compared with that of  common algorithms.
Keywords:
iterative closest  points, nonrigid ICP, shape registration, affine transformation, orthogonal  transformation, point-to-point, point-to-plane, deformable surfaces.
Citation:
  Makovetskii A, Voronin  S, Kober V, Voronin A. An efficient algorithm for non-rigid object registration.  Computer Optics 2020; 44(1): 67-73. DOI: 10.18287/2412-6179-CO-586.
Acknowledgements:
The work was supported  by the Ministry of Education and Science of Russian Federation (grant No.  2.1743.2017) and by the RFBR (grant No. 18-07-00963).
References:
  - Besl  PJ, McKay ND.  A method for registration of 3-D shapes. IEEE Trans Patt Anal Machine Intell  1992; 14(2): 239-256.
- Chen  Y, Medioni G. Object modeling by registration of multiple range images. Proc  IEEE Conf Robot Automat 1991; 3: 2724-2729.
- Amberg  B, Romdhani S, Vetter T. Optimal step nonrigid icp algorithms for surface  registration. Proc IEEE Conf Comput Vis Patt  Recogn 2007: 1-8.
 
- Cheng  S, Marras I, Zafeiriou S, Pantic M. Active nonrigid ICP algorithm. IEEE  International Conference and Workshops on Automatic Face and Gesture  Recognition 2015: 1-8. 
 
- Blanz  V, Vetter T. A morphable model for the synthesis of 3D faces. Proc SIGGRAPH  1999: 187-194. 
 
- Davis  J, Marschner S, Garr M, Levoy M. Filling holes in complex surfaces using  volumetric diffusion. Proceedings of the First International Symposium on 3D  Data Processing Visualization and Transmission 2002: 428-441.
 
- Kahler  K, Haber J, Yamauchi H, Seidel H-P. Head shop: Generating animated head models  with anatomical structure. Proceedings of the ACM SIGGRAPH/Eurographics  Symposium on Computer Animation 2002: 55-63.
 
- Szeliski  R, Lavalle S. Matching 3-D anatomical surfaces with non-rigid deformations  using octree-splines. Int J Comp Vis 1996;  18(2): 171-186.
 
- Allen  B, Curless B, Popovic Z. The space of human body shapes: Reconstruction and  parameterization from range scans. ACM Trans on Graph 2003; 22(3): 587-594.
 
- Fischer  B, Modersitzki J. Curvature based image registration. J Math Imaging Vis 2003;  18(1): 81-85.
 
- Dekker  M, Feldmar J, Ayache N. Rigid, affine and locally affine registration of  free-form surfaces. Int J Comp Vis 1996;  18(2): 99-119.
 
- Picos  K, Diaz-Ramirez V, Kober V, Montemayor A, Pantrigo J. Accurate three-dimensional  pose recognition from monocular images using template matched filtering. Opt  Eng 2016; 55(6): 063102.
 
- Echeagaray-Patron  B, Kober V, Karnaukhov V, Kuznetsov V. A method of face recognition using 3D  facial surfaces. J Commun Technol Electron 2017; 62: 648-652.
 
- Echeagaray-Patron  B, Miramontes-Jaramillo D, Kober V. Conformal parameterization and curvature  analysis for 3D facial recognition. Proc IEEE Int Conf Comput Sci Comput  Intelligence 2015: 843-844.
 
- Ruchay  A, Dorofeev K, Kolpakov V. Fusion of information from multiple kinect sensors  for 3D object reconstruction. Computer Optics 2018; 42(5): 898-903.
 
- Ruchay  A, Dorofeev K, Kober A. 3D object reconstruction using multiple Kinect sensors  and initial estimation of sensor parameters. Proc SPIE 2018; 10752: 1075222.
 
- Ruchay  A, Dorofeev K, Kober A. Accurate reconstruction of the 3D indoor environment  map with a RGB-D camera based on multiple ICP. CEUR Workshop Proceedings 2018;  2210: 300-308.
 
- Labunets  V, Kokh E, Ostheimer E. Algebraic models and methods of computer image  processing. Part 1. Multiplet models of multichannel images. Computer Optics  2018; 42(1): 84-95.
 
- Labunets  V, Chasovskikh V, Smetanin J, Ostheimer E. Many-parameter mcomplementary Golay  sequences and transforms. Computer Optics 2018; 42(6): 1074-1082.
 
- Tihonkih  D, Makovetskii A, Kuznetsov V. A modified iterative closest point algorithm for  shape registration. Proc SPIE 2016; 9971: 99712D.
 
- Tihonkih  D, Makovetskii A, Kuznetsov V. The iterative closest points algorithm and  affine transformations. CEUR Workshop Proceedings 2016; 1710: 349-356.
 
- Makovetskii  A, Voronin S, Kober V, Tihonkih D. An efficient point-to-plane registration  algorithm for affine transformations. Proc SPIE 2017; 10396: 103962J.
 
- Makovetskii  A, Voronin S, Kober V, Tihonkih D. Affine registration of point clouds based on  point-to-plane approach. Procedia Engineering 2017; 201: 322-330. 
- Du S, Zheng N, Meng G,  Yuan Z. Affine registration of point sets using ICP and ICA. IEEE Signal Proces Lett 2008; 15:  689-692.
   
  
  
  © 2009, IPSI RAS
  151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: ko@smr.ru ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20