A model-based vision system for recognising three-dimensional objects from a single gray-intensity image

A model-based vision system for recognising three-dimensional objects from a single gray-intensity image

This project considers the problems of feature extraction, pose estimation and identification of spatial objects under different working environments, lighting conditions and camera projections. A model-based recognition system is proposed and implemented for identifying and estimating the pose of...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Yiwu., Lim, Siew Kim., Ng, Geok See., Wong, Kok Cheong.
Other Authors: School of Applied Science
Format: Research Report
Published: 2008
Subjects:
DRNTU::Engineering
Online Access:http://hdl.handle.net/10356/8135
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-8135
record_format dspace
spelling sg-ntu-dr.10356-81352020-09-27T20:13:16Z A model-based vision system for recognising three-dimensional objects from a single gray-intensity image Li, Yiwu. Lim, Siew Kim. Ng, Geok See. Wong, Kok Cheong. School of Applied Science DRNTU::Engineering This project considers the problems of feature extraction, pose estimation and identification of spatial objects under different working environments, lighting conditions and camera projections. A model-based recognition system is proposed and implemented for identifying and estimating the pose of target objects comprising of straight and well-defined curve segments form a single image. RG 15/94 2008-09-19T02:53:52Z 2008-09-19T02:53:52Z 1997 1997 Research Report http://hdl.handle.net/10356/8135 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Li, Yiwu.
Lim, Siew Kim.
Ng, Geok See.
Wong, Kok Cheong.
A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
description This project considers the problems of feature extraction, pose estimation and identification of spatial objects under different working environments, lighting conditions and camera projections. A model-based recognition system is proposed and implemented for identifying and estimating the pose of target objects comprising of straight and well-defined curve segments form a single image.
author2 School of Applied Science
author_facet School of Applied Science
Li, Yiwu.
Lim, Siew Kim.
Ng, Geok See.
Wong, Kok Cheong.
format Research Report
author Li, Yiwu.
Lim, Siew Kim.
Ng, Geok See.
Wong, Kok Cheong.
author_sort Li, Yiwu.
title A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
title_short A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
title_full A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
title_fullStr A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
title_full_unstemmed A model-based vision system for recognising three-dimensional objects from a single gray-intensity image
title_sort model-based vision system for recognising three-dimensional objects from a single gray-intensity image
publishDate 2008
url http://hdl.handle.net/10356/8135
_version_ 1681058657414938624

Similar Items