ACM Home Page
Please provide us with feedback. Feedback
A domain-independent system for sketch recognition
Full text PdfPdf (236 KB)
Source Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia table of contents
Melbourne, Australia
SESSION: Sketch table of contents
Pages: 141 - 146  
Year of Publication: 2003
ISBN:1-58113-578-5
Authors
Bo Yu  Nanjing University, China
Shijie Cai  Nanjing University, China
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 56,   Citation Count: 6
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/604471.604499
What is a DOI?

ABSTRACT

Freehand sketching is a natural and powerful means of interpersonal communication. But to date, it still cannot be supported effectively by human-computer interface. In this paper, we describe a domain-independent system for sketch recognition. Our system allows users to draw sketches as naturally as how they do on paper, and it recognizes the drawing through imprecise stroke approximation which is implemented in a unified and incremental procedure. This method can handle smooth curves and hybrid shapes as gracefully as it does to polylines. With a feature-area verification mechanism and the intelligent adjustment in the post-process, the system can produce user-intended results. Moreover, the output is organized in a hierarchical structure which includes syntactic and semantic information as well as raw data. Our system mainly utilizes low-level geometric features and does not rely on any domain-specific knowledge. Therefore, it will serve as a general and solid foundation for future high-level applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
C. Calhoun, T. F. Stahovich, T. Kurtoglu and L. B. Kara, "Recognizing Multi-Stroke Symbols", 2002 AAAI Spring Symposium on Sketch Understanding.
 
3
M. J. Fonseca and J. A. Jorge, "Using Fuzzy Logic to Recognize Geometric Shapes Interactively", Proceedings of the 9th International Conference on Fuzzy Systems, 2000.
 
4
Tracy Hammond and Randall Davis, "Tahuti: A Sketch Recognition System for UML Class Diagrams", 2002 AAAI Spring Symposium on Sketch Understanding.
5
6
 
7
T. M. Sezgin, "Feature Point Detection and Curve Approximation for Early Processing of Free-Hand Sketches", Master's thesis, Massachusetts Institute of Technology.
8

CITED BY  6