An attempt to optimize the process of automatic point matching for homogeneous surface objects

• Autorzy: Popielski P. , Wróbel Z.
• Języki publikacji: EN

Abstrakty

EN

In recent years the progress in algorithms optimization has resulted in many solutions in the area of fully automatic reconstructing of 3D model of any object from a sequence of non-metric images. An important step in the formation of a 3D model is so-called matching process of homologous points in the sequence of images. This stage is still a bottleneck for the reconstruction of objects consisting of uniform surfaces, such as sculptures, reliefs, or even the human body. The solution may be to apply an artificial variety to surfaces by covering them with a random texture pattern. A wide range of multimedia projectors, with increasingly higher resolutions and luminosities, enables us to perform the projection of any texture on the object, and then to register it. In this article, we present the idea of creating an artificial pattern, a structure that will provide significant improvement of automatic point identification stage, and the proper mapping of homologous points in the sequence of images. While creating a pattern allowing easy feature extraction does not present much of a problem, assurance of its uniqueness for the whole object for matching purposes, requires a deliberate idea. Statistical formulation of the problem demonstrates the high efficiency of the method.

Słowa kluczowe

EN

vision; automation; matching; surface; pattern

PL

wzrok; automatyzacja; matching; powierzchnia; deseń

• Wydawca: Zarząd Główny Stowarzyszenia Geodetów Polskich
• Czasopismo: Archiwum Fotogrametrii, Kartografii i Teledetekcji
• Rocznik: 2011
• Tom: Vol. 22
• Strony: 351--361
• Opis fizyczny: Bibliogr. 10 poz.

Twórcy

autor

Popielski P.

• The University of Silesia in Katowice, Institute of Computer Science

autor

Wróbel Z.

• The University of Silesia in Katowice, Institute of Computer Science, 41-200 Sosnowiec, ul. Bedzinska 39

Bibliografia

• Bailey D., Borwein J., Mattingly A., Wightwick G., 2011, The Computation of Previously Inaccessible Digits of π2 and Catalan's Constant, Notices of the American Mathematical Society, to appear 11 Apr 2011, http://crd.lbl.gov/~dhbailey/dhbpapers/bbp-bluegene.pdf, (accessed 15 Apr. 2011)
• Bailey D., The BBP Algorithm for Pi, 2006, http://crd.lbl.gov/~dhbailey/dhbpapers/bbp-alg.pdf (accessed 15 Apr. 2011)
• Berggren L., Borwein J.M. and Borwein P.B., 2004, Pi: a Source Book, Springer-Verlag New York, USA
• Chang Y., 2008, A Photogrammetric System for 3D Reconstruction of a Scoliotic Torso, A Master Thesis, Department of Geomatics Engineering, University of Calgary, Canada
• D’Apuzzo N., 2002, Measurment and Modeling of Human Faces from Multi Images, International Archives of Photogrammetry and Remote Sensing 34(5), pp 241-246
• Harris C., Stephens M., 1998, A combined corner and edge detector, Proceedings of Alvey Vision Conference, 15: pp 147-151
• Lewis, J. P. Fast normalized cross-correlation, 1995, Vision Interface, pp 120–123
• Moravec H. Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover, 1980, Tech Report CMU-RI-TR-3 Carnegie-Mellon University, Robotics Institute, USA
• Remondino F., 2003, 3D Reconstruction of Static Human Body with a Digital Camera, Videometrics VII, SPIE Electronic Imaging, Vol. 5013, pp. 38-45, El-Hakim, Gruen, Walton (Eds), Santa Clara (California), USA
• Trujillo L., Olague G., Automated design of image operators that detect interest points, 2008, Evolutionary Computation 16 (4), pp 483–507