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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Format: | Theses and Dissertations |
Language: | English |
Published: |
2009
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Online Access: | http://hdl.handle.net/10356/19684 |
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Institution: | Nanyang Technological University |
Language: | English |
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. |
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