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Showing 1 to 4 of 4 for “"Symbol recognition"”.
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Robust dynamic symbol recognition : the ClockSketch classifier
I present an automatic classifier for the digitized clock drawing test, a neurological diagnostic exam used to assess patients' mental acuity by having them draw an analog clock face using a digitizing pen. This classifier assists human examiners in clock drawing interpretation by labeling several …
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Marking Time : increased scope and accuracy for sketch classification of the clock drawing test
… stroke properties, developing additional symbol recognizers, and creating a global context evaluator. I describe in this thesis properties for isolated symbol recognition, features for symbol recognition and match scoring, as well as common sense rules based on a symbol's local and global …
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Understanding freehand diagrams : combining appearance and context for multi-domain sketch recognition
… We present a novel framework for sketch recognition that seamlessly combines a rich representation of local visual appearance with a probabilistic graphical model for capturing higher level relationships. This joint model makes our system less sensitive to noise and drawing variations, …
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Deep learning for digitising complex engineering drawings.
… recognising all drawing components which are the symbols, text and connections. Although there has been significant improvement in computer vision due to the development of deep learning, the same progress has not been seen for engineering drawing digitisation. Most of these methods were based on …