Computer Vision, Graphics, and Image Processing
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Intelligent object group selection
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Intelligent Mouse-Based Object Group Selection
SG '08 Proceedings of the 9th international symposium on Smart Graphics
The aesthetics of graph visualization
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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Modern graphical user interfaces support the direct manipulation of objects and efficient selection of objects is an integral part of this user interface paradigm. For the selection of object groups most systems implement only rectangle selection and shift-clicking. This paper presents an approach to group selection that is based on the way human perception naturally groups objects, also known as the "Gestalt" phenomenon. Based on known results from perception research, we present a new approach to group objects by the Gestalt principles of proximity, curve-linearity, and closure. We demonstrate the results with several examples.