Constructing spatial representations of variable detail for sketch recognition

Andrew Lovett*, Morteza Dehghani, Kenneth D Forbus

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


We describe a system which constructs spatial representations of sketches drawn by users. These representations are currently being used as the input for a spatial reasoning system which learns classifiers for performing sketch recognition. The spatial reasoning system requires representations at a level of detail sparser than that which the representation constructor normally builds. Therefore, we describe how the representation constructor ranks the expressions in its output so that the number of expressions in the representation can be decreased with minimal loss of information. We evaluate the overall system, showing that it is able to learn and utilize classifiers for complex sketches even when the representation size is sharply diminished.

Original languageEnglish (US)
Title of host publicationControl Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems - Papers from the 2007 AAAI Spring Symposium, Technical Report
Number of pages6
StatePublished - Dec 28 2007
Event2007 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 26 2007Mar 28 2007


Other2007 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Constructing spatial representations of variable detail for sketch recognition'. Together they form a unique fingerprint.

Cite this