Segmentation of planar surfaces from range data

This project is the first part of a long term project that aims to develop a complete three-dimensional object recognition system from range data for industrial applications. The objective of this project is to develop a robust algorithm to extract all the planar surfaces from range data using regio...

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Bibliographic Details
Main Author: Son, Ik Soo.
Other Authors: Sung, Eric
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/19684
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Institution: Nanyang Technological University
Language: English
Description
Summary:This project is the first part of a long term project that aims to develop a complete three-dimensional object recognition system from range data for industrial applications. The objective of this project is to develop a robust algorithm to extract all the planar surfaces from range data using region growing technique controlled by least-square criterion to accomplish the task of segmentation. This project will therefore form the foundation for further improvement for extracting of higher order surfaces, three-dimensional feature representation and ultimately object recognition. The planar surface segmentation algorithm is then to be tested by using both synthetic data and experimental data for evaluation.