Title
Automated hedcut illustration using isophotes
Abstract
In this work, we present an automated system for creating hedcut illustrations, portraits rendered using small image feature aligned dots (stipples). We utilize edge detection and shading cues from the input photograph to direct stipple placement within the image. Both image edges and isophotes are extracted as a means of describing the image feature and shading information. Edge features and isophotes are then assigned different priorities, with isophotes being assigned the highest priority to enhance the depth perception within the hedcut portrait. Priority assignment dictates the stipple alignment and spacing. Finally, stipple size is based on the number of points and intensity and the gradient magnitude of the input image.
Year
DOI
Venue
2010
10.1007/978-3-642-13544-6_17
Smart Graphics
Keywords
Field
DocType
stipple placement,stipple size,small image,automated hedcut illustration,image edge,edge detection,image feature,input image,different priority,stipple alignment,edge feature,depth perception,image features
Computer vision,Computer graphics (images),Computer science,Edge detection,Artificial intelligence,Gradient magnitude,Depth perception,Shading
Conference
Volume
ISSN
ISBN
6133
0302-9743
3-642-13543-9
Citations 
PageRank 
References 
8
0.45
24
Authors
4
Name
Order
Citations
PageRank
Sungye Kim113811.54
Insoo Woo21738.55
Ross Maciejewski354236.54
David S. Ebert42056232.34