SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Constraint-based tools for building user interfaces
ACM Transactions on Graphics (TOG) - Special issue on user interface software
Variation of geometrics based on a geometric-reasoning method
Computer-Aided Design
Inferring graphical constraints with Rockit
HCI'92 Proceedings of the conference on People and computers VII
A graph-constructive approach to solving systems of geometric constraints
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Sloppy selection: Providing an accurate interpretation of imprecise selection gestures
Computers and Graphics
Combining geometry and domain knowledge to interpret hand-drawn diagrams
Computers and Graphics
Towards beautification of freehand sketches using suggestions
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
Automated freehand sketch segmentation using radial basis functions
Computer-Aided Design
Human perception in segmentation of sketches
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
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In order to take advantage of the sketch-based interaction, many methods have been proposed to beautify freehand sketches. Most of these efforts are dedicated to sketch segmentation and recognition, while some important information implied in the sketches, such as geometric constraints, are largely ignored. Thus, the final beautified results by these methods do not fully reflect the true intentions from users. In this paper, a statistical approach called Relative Shape Histogram (RSH) is introduced to detect the implied geometric constraint in sketches. The basic idea arises from such a discovery that the same geometric constraints between two geometric primitives have similar relative shape histograms. By computing the similarity between RSHs, the implicit geometric constraints between two segmented primitives are inferred. To evaluate the performance of the proposed algorithm, a user-based experiment is conducted and the results are presented in this paper.