Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Measuring rectilinearity

Rosin, Paul L. and Zunic, Jovisa 2005. Measuring rectilinearity. Computer Vision and Image Understanding 99 (2) , pp. 175-188. 10.1016/j.cviu.2005.01.003

Full text not available from this repository.

Abstract

Two new methods for computing the rectilinearity of polygons are presented. They provide shape measures and estimates of canonical orientations which can be used in applications such as shape retrieval, object classification, image segmentation, etc. Examples are presented demonstrating their use in skew correction of scanned documents, deprojection of aerial photographs of buildings, and scale selection for curve simplification. Furthermore, testing has been carried out on synthetic data and with human subjects to verify that the measures do indeed produce perceptually meaningful results

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Shape descriptor; Polygon; Rectilinear
Publisher: Elsevier
ISSN: 1077-3142
Last Modified: 04 Jun 2017 04:42
URI: http://orca.cf.ac.uk/id/eprint/43123

Citation Data

Cited 7 times in Google Scholar. View in Google Scholar

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item