Method and apparatus for drawing and erasing calligraphic ink objects on a display surface
US-9207858-B2 · Dec 8, 2015 · US
US9064147B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9064147-B2 |
| Application number | US-201414219176-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 19, 2014 |
| Priority date | Dec 3, 2010 |
| Publication date | Jun 23, 2015 |
| Grant date | Jun 23, 2015 |
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Handwriting interpretation tools, such as optical character recognition (OCR), have improved over the years such that OCR is a common tool in business for interpreting typed text and sometimes handwritten text. OCR does not apply well to non-text-only diagrams, such as chemical structure diagrams. A method according to an embodiment of the present invention of interpreting a human-drawn sketch includes determining a local metric indicating whether a candidate symbol belongs to a certain classification based on a set of features. The set of features includes, as a feature, scores generated from feature images of the candidate symbol. Also included is determining a joint metric of multiple candidate symbols based on their respective classifications and interpreting the sketch as a function of the local and joint metrics. Sketches can be chemical composition, biological composition, electrical schematic, mechanical, or any other science- or engineering-based diagrams for which human-drawn symbols have well-known counterparts.
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What is claimed is: 1. A method of detecting corners in a stroke of a hand-drawn sketch, the method comprising: by a processor, for each vertex in a set of vertices of a stroke, calculating a likelihood metric that the vertex is a corner; identifying a least likely vertex based on its likelihood metric; classifying the least likely vertex using segmentation parameters learned from training data; determining whether the least likely vertex is classified as a corner; if th…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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