Research on new view planning method for automatic reconstruction of unknown 3D objects

Authors:
Xiaolong Zhou;Bingwei He;Y. F. Li
Affiliations:
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian Province, P.R. China;School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian Province, P.R. China;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 12
Cited 0

Automatic Sensor Placement from Vision Task Requirements

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
A Mechanism of Automatic 3D Object Modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence
Planning for complete sensor coverage in inspection

Computer Vision and Image Understanding
A Solution to the Next Best View Problem for Automated Surface Acquisition

IEEE Transactions on Pattern Analysis and Machine Intelligence
View planning for automated three-dimensional object reconstruction and inspection

ACM Computing Surveys (CSUR)
Planning the Next View Using the Max-Min Principle

CAIP '93 Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns
Solid model acquistion from range imagery

Solid model acquistion from range imagery
What's NEXT? An interactive next best view approach

Pattern Recognition
Path planning for laser scanning with an industrial robot

Robotics and Autonomous Systems
Model-based view planning

Machine Vision and Applications
An automation system for industrial 3-D laser digitizing

3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Information entropy-based viewpoint planning for 3-D object reconstruction

IEEE Transactions on Robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Automatic reconstruction of unknown 3-D objects is a main part of the machine vision technology and it has a variety of applications such as robot navigation, medical imaging and industrial inspection, etc. In this paper, a new view planning method for reconstructing unknown 3-D models automatically was proposed based on the limit visual surface. Firstly, the visual region of the laser-vision system was obtained. And the limit visual surface was modeled by means of the known boundary data obtained from initial view and was used to predict the unknown object surface information. Then the next viewpoint visibility was determined according to the visual region of the system and the visible area of next viewpoint was obtained. Finally, the position which can obtain the maximum visible area was selected as the next best view position. The experimental results of the real models showed that the method is effective in practical implementation.