Automated view integration techniques for numerous 3d clouds of points

Authors:
Maciej Karaszewski;Elwira Holowko;Jerzy Wojsz;Robert Sitnik;Eryk Bunsch
Affiliations:
Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland,Wilanow Palace Museum, Warsaw, Poland;Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland;Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland;Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland;Wilanow Palace Museum, Warsaw, Poland
Venue:
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
Year:
2012

Citing 7
Cited 0

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
An Affine Invariant Interest Point Detector

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
A Fast Automatic Method for Registration of Partially-Overlapping Range Images

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Curvature Maps for Local Shape Comparison

SMI '05 Proceedings of the International Conference on Shape Modeling and Applications 2005
Digitally Archiving Cultural Objects

Digitally Archiving Cultural Objects
On-line, collision-free positioning of a scanner during fully automated three-dimensional measurement of cultural heritage objects

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents techniques used for integrating numerous 3D directional measurements obtained during digitization of various classes of works of art, with dimensions up to 2000mm x 500mm x 500mm. Most of those measurements are of very high resolution (up to 10000 points per mm2) and small volume (50 mm x 50 mm x 20 mm). In this paper, a hybrid method used for integrating those measurements into complete model is described. It is based on geometrical, color and texture features of digitized surface. Global relaxation, performed as a final stage, ensures uniform distribution of fitting errors between measurements within the whole model.