Title
Model based corner detection
Abstract
A method is presented to correct an approximate polygonal sketch of an image object boundary by adjusting the location of each corner point in the sketch. The method is suitable for the segmentation of unknown images using interactive techniques, and for locating object boundaries in model-based segmentation. For each point, p, at which two lines meet in an open or closed polygonal sketch, a corner segmentation model is derived based on the angle, orientation and scale of the corner defined, and the image function f(x, y) in the immediate region about p. A corner template is then constructed and matched in a small neighborhood about p, thereby providing a corrected polygonal sketch. The segmentation model is correct in 95% of the cases, and the corner is accurately located
Year
DOI
Venue
1993
10.1109/CVPR.1993.341025
Journal of Mathematical Imaging and Vision
Keywords
Field
DocType
computational geometry,edge detection,image segmentation,corner detection,image function,image object boundary,model-based segmentation,orientation,polygonal sketch,detectors,hardware,interaction technique,computer science,physics,solid modeling,shape
Computer vision,Scale-space segmentation,Pattern recognition,Feature detection (computer vision),Corner detection,Interest point detection,Range segmentation,Computer science,Segmentation-based object categorization,Scale space,Image segmentation,Artificial intelligence
Conference
Volume
Issue
ISSN
1993
1
1063-6919
Citations 
PageRank 
References 
5
1.24
1
Authors
2
Name
Order
Citations
PageRank
Orange, C.M.151.24
Frans C. A. Groen292.68