Free-sketch recognition: putting the chi in sketching
CHI '08 Extended Abstracts on Human Factors in Computing Systems
A visual approach to sketched symbol recognition
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Feature extraction and classifier combination for image-based sketch recognition
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
Sketch recognition by fusion of temporal and image-based features
Pattern Recognition
ChemInk: a natural real-time recognition system for chemical drawings
Proceedings of the 16th international conference on Intelligent user interfaces
Recognizing sketched multistroke primitives
ACM Transactions on Interactive Intelligent Systems (TiiS)
Lg: a computational framework for research in sketch-based interfaces
SG'11 Proceedings of the 11th international conference on Smart graphics
Sketched symbol recognition with auto-completion
Pattern Recognition
HBF49 feature set: A first unified baseline for online symbol recognition
Pattern Recognition
| Hi-index | 0.00 |
Hand drawn sketches are an important part of the early design process and are an important aspect of creative design. They are used in many fields including electrical engineering, software engineering and web design. Recognizing shapes in these sketches is a challenging task due to the imprecision with which they are drawn. We tackle this challenge with a visual approach to recognition. The approach is based on a representation of a sketched shape in terms of the visual parts it is made of. By taking this part-based visual approach we are able to recognize shapes that are extremely difficult to recognize with current sketch recognition systems that focus on the individual strokes. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)