A coarse-to-fine object recognition method under occlusion for microassembly
by Jian-Ying Zhu, Hua-Ming Wang
International Journal of Nanomanufacturing (IJNM), Vol. 1, No. 1, 2006

Abstract: A two-stage object recognition algorithm with the presence of occlusion is presented for microassembly. Coarse localisation determines whether template is in image or not and where it is approximately, and fine localisation gives its accurate position. In coarse localisation, local feature, which is invariant to translation, rotation and occlusion, is used to form signatures. By comparing signature of template with that of image, approximate transformation parameter from template to image is obtained, which is used as initial parameter value for fine localisation. An objective function, which is a function of transformation parameter, is constructed in fine localisation and minimised to realise sub-pixel localisation accuracy. The occluded pixels are not taken into account in objective function, so the localisation accuracy will not be influenced by the occlusion.

Online publication date: Wed, 29-Nov-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nanomanufacturing (IJNM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com