Paper Info
Title
ShadowDraw: real-time user guidance for freehand drawing
Abstract
We present ShadowDraw, a system for guiding the freeform drawing of objects. As the user draws, ShadowDraw dynamically updates a shadow image underlying the user's strokes. The shadows are suggestive of object contours that guide the user as they continue drawing. This paradigm is similar to tracing, with two major differences. First, we do not provide a single image from which the user can trace; rather ShadowDraw automatically blends relevant images from a large database to construct the shadows. Second, the system dynamically adapts to the user's drawings in real-time and produces suggestions accordingly. ShadowDraw works by efficiently matching local edge patches between the query, constructed from the current drawing, and a database of images. A hashing technique enforces both local and global similarity and provides sufficient speed for interactive feedback. Shadows are created by aggregating the edge maps from the best database matches, spatially weighted by their match scores. We test our approach with human subjects and show comparisons between the drawings that were produced with and without the system. The results show that our system produces more realistically proportioned line drawings.
Year
DOI
Venue
2011
10.1145/1964921.1964922
ACM Trans. Graph.
Keywords
Field
DocType
large database,shadowdraw dynamically,local edge patch,blends relevant image,freeform drawing,system dynamically adapts,edge map,proportioned line drawing,real-time user guidance,current drawing,best database,freehand drawing,system dynamics,real time,image retrieval
Computer vision,Shadow,Edge maps,Computer graphics (images),Computer science,Artificial intelligence,Hash function,Tracing,Interactive feedback,Line drawings
Journal
Volume
Issue
ISSN
30
4
0730-0301
Citations 
PageRank 
References 
85
3.22
23
Authors
3
Name
Order
Citations
PageRank
Yong Jae Lee180240.44
C. Lawrence Zitnick27321332.72
Michael F. Cohen378961058.75