Template Matching Based on the L_p Norm Using Sufficient Conditions with Incremental Approximations
Tombari, F.; Mattoccia, S.; Di Stefano, L.
Video and Signal Based Surveillance, 2006. AVSS apos;06. IEEE International Conference on
Volume , Issue , Nov. 2006 Page(s):20 - 20
Digital Object Identifier   10.1109/AVSS.2006.110
Summary:This paper proposes a novel algorithm aimed at speeding-up template matching based on the L_p norm. The algorithm is exhaustive, i.e. it yields the same results as a Full Search (FS) template matching process, and is based on the deployment of tight lower bounds that can be derived by using together the triangular inequality and partial evaluations of the L_p norm. In order to deploy this, template and image subwindows are properly partitioned. The experimental results prove that the proposed algorithm allows speeding-up the FS process and also (when applied to the L_2 norm) the exhaustive approach based on the Fast Fourier Transform.

» View citation and abstract

Log in by entering your IEEE Web Account Username and Password.

IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.

• Search and access Abstract records free of charge
• Register for table of contents alerts
• Purchase Full Text PDF documents

» Learn more about subscription options or how to become an IEEE Member.