Perceptual Organization in an Interactive Sketch Editing Application
ICCV '95
Eric Saund and Thomas P. Moran
Xerox Palo Alto Research Center
Abstract
This paper shows how techniques from computational vision can be
deployed to support interactive sketch editing. While conventional
computer-supported drawing tools give users access to visible marks or
image objects at a single level of abstraction, a human user's visual
system rapidly constructs complex groupings and associations among image
elements according to his or her immediate purposes. We have been
exploring {\it perceptually supported} sketch editors in which computer
vision algorithms run continuously, behind the scenes, to afford users
efficient access to emergent visual objects in a drawing. We employ a
flexible image interpretation architecture based on token grouping in a
multiscale blackboard data structure. This organization supports
multiple perceptual interpretations of line drawing data,
domain-specific knowledge bases for interpreting visual structures, and
natural gesture-based selection of visual objects.
Paper (4.7M compressed to 290K)