A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams

نویسندگان

  • Tracy Anne Hammond
  • Drew Logsdon
  • Brandon Paulson
  • Joshua Johnston
  • Joshua M. Peschel
  • Aaron Wolin
  • Paul Taele
چکیده

Military course-of-action (COA) diagrams are used to depict battle scenarios and include thousands of unique symbols, complete with additional textual and designator modifiers. We have created a real-time sketch recognition interface that recognizes 485 freely-drawn military course-of-action symbols. When the variations (not allowable by other systems) are factored in, our system is several orders of magnitude larger than the next biggest system. On 5,900 hand-drawn symbols, the system achieves an accuracy of 90% when considering the top 3 interpretations and requiring every aspect of the shape (variations, text, symbol, location, orientation) to be correct.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Entropy to Distinguish Shape Versus Text in Hand-Drawn Diagrams

Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes, but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the 'en-tropy rate' to be an accurate criterion of classification. We found that the entropy rate i...

متن کامل

Automatically Generating Sketch Interfaces from Shape Descriptions

As pen-based input devices have become more common, sketch recognition systems are being developed for many hand-drawn diagrammatic domains such as mechanical engineering, GUI design, course of action diagrams, and many others. These sketch interfaces 1) allow for more natural interaction than a traditional mouse and palette tool by allowing users to hand-sketch the diagram, 2) can automaticall...

متن کامل

Recognition of Hand Drawn Chemical Diagrams

Chemists often use hand-drawn structural diagrams to capture and communicate ideas about organic compounds. However, the software available today for specifying these structures to a computer relies on a traditional mouse and keyboard interface, and as a result lacks the ease of use, naturalness, and speed of drawing on paper. In response, we have developed a novel sketch-based system capable o...

متن کامل

An agent-based framework for sketched symbol interpretation

Recognizing hand-sketched symbols is a definitely complex problem. The input drawings are often intrinsically ambiguous, and require context to be interpreted in a correct way. Many existing sketch recognition systems avoid this problem by recognizing single segments or simple geometric shapes in a stroke. However, for a recognition system to be effective and precise, context must be exploited,...

متن کامل

Recognizing interspersed sketches quickly

Sketch recognition is the automated recognition of hand-drawn diagrams. When allowing users to sketch as they would naturally, users may draw shapes in an interspersed manner, starting a second shape before finishing the first. In order to provide freedom to draw interspersed shapes, an exponential combination of subshapes must be considered. Because of this, most sketch recognition systems eit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010