Computer Vision, Graphics, and Image Processing
A perceptually-supported sketch editor
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
Perceptual grouping for generic recognition
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
Detecting perceptually parallel curves: criteria and force-driven optimization
Computer Vision and Image Understanding
Segmentation of page images using the area Voronoi diagram
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Indexing of Technical Line Drawing Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization for Artificial Vision Systems
Perceptual Organization for Artificial Vision Systems
A Factorization Approach to Grouping
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Structural Representation Adapted to Handwritten Symbol Recognition
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Interpreting Sloppy Stick Figures by Graph Rectification and Constraint-Based Matching
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Perceptually-Based Representation of Network Diagrams
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Perceptual organization in an interactive sketch editing application
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Textons, Contours and Regions: Cue Integration in Image Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Spatial aggregation: theory and applications
Journal of Artificial Intelligence Research
Finding Perceptually Closed Paths in Sketches and Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2007 sketches
Combining geometry and domain knowledge to interpret hand-drawn diagrams
Computers and Graphics
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This paper motivates an approach to graphics recognition grounded in a framework for human and machine vision known as Perceptual Organization. We review some of the characteristics of this approach that distinguish it from traditional engineering of document recognition systems, and we suggest why and how the techniques and philosophy of Perceptual Organization might lead to advances in the very practical matters of interpreting diagrams, drawings, and sketches.