Novel representations, techniques and error evaluation for 3D reconstruction

Authors:
Sidharth R. Varier;Amey Vaidya;K. S. Venkatesh
Affiliations:
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, U.P., India;Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, U.P., India;Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, U.P., India
Venue:
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Year:
2010

Citing 8
Cited 0

Volume/surface octrees for the representation of three-dimensional objects

Computer Vision, Graphics, and Image Processing
Automated laser scanning based on orthogonal cross sections

Machine Vision and Applications
Straight lines have to be straight: automatic calibration and removal of distortion from scenes of structured enviroments

Machine Vision and Applications
The Visual Hull Concept for Silhouette-Based Image Understanding

IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Next Sensor Position Based on Surface Characteristics

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A volumetric fusion technique for surface reconstruction from silhouettes and range data

Computer Vision and Image Understanding
A paintbrush laser range scanner

Computer Vision and Image Understanding
Low-Cost laser range scanner and fast surface registration approach

DAGM'06 Proceedings of the 28th conference on Pattern Recognition

Quantified Score

Hi-index	0.01

Visualization

Abstract

Silhouette and laser based techniques have been widely used for 3D reconstruction of objects. We propose a Multiple Axis Object Centered Cylindrical Coordinate System (MAOCCCS) for the representation of 3D models reconstructed by silhouette based technique. A single axis cylindrical coordinate system is insufficient for representing objects with multiple auxiliary components because it leads to unequal distribution of points over the object. We also propose a camera calibration method using meshgrid patterns for laser based technique. Using this method we are able to achieve sub-millimeter accuracy in the reconstructed 3D models. It is difficult to qualitatively ascertain the accuracy of any reconstruction method by measuring the various dimensions of the object and comparing them with that of the reconstructed model as this is a very tedious process. A novel technique for the error evaluation of a reconstruction method, which is closely related to the conventional concept of visual hull, has been introduced in this paper.