Sketch-based retrieval of ClipArt drawings
Proceedings of the working conference on Advanced visual interfaces
Machine assessment of shape copying tests using Zernike moment descriptors
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Geometric matching for clip-art drawing retrieval
Journal of Visual Communication and Image Representation
Hierarchical approximate matching for retrieval of chinese historical calligraphy character
Journal of Computer Science and Technology
Sketch-based interaction and calligraphic tags to create comics online
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
On visual similarity based 2D drawing retrieval
Computer-Aided Design
Sketch-based retrieval of complex drawings using hierarchical topology and geometry
Computer-Aided Design
Sketch-based retrieval of drawings using spatial proximity
Journal of Visual Languages and Computing
A hybrid graphical password based system
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Morphology based spatial relationships between local primitives in line drawings
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A flexible assembly retrieval approach for model reuse
Computer-Aided Design
Mixing images and sketches for retrieving vector drawings
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Towards 3D modeling using sketches and retrieval
SBM'04 Proceedings of the First Eurographics conference on Sketch-Based Interfaces and Modeling
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As pen-based devices become more popular, it has motivated several novel research issues in the area of pen computing. One interesting and practical problem is the storage and retrieval of hand-drawn sketches. A sketch can consist of handwritten notes, symbols, free-form hand-drawings, annotations on a document, and others. It is very useful to store the sketches in a database and then retrieve them later. In our prior work, we proposed a method for hand-drawn sketch retrieval by performing stroke-by-stroke matching and by considering the spatial relationship between them. In this paper, we propose a method to simplify a sketch and perform matching in a hierarchical manner. With this approach, a shaded region or a region of complex strokes can be detected automatically and represented as a single hyper-stroke. In the matching stage, the similarity is computed by combining the similarity scores across the feature spaces at each level and the similarity of the stroke hierarchies. A sketch may be better represented by exploiting the structural relationship between the strokes. In addition, as a general rule to the hierarchical approach, it has the advantage of reduced computation thus the retrieval process would speed up.