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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, sta...
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. Ma...
Giovanni Casella, Vincenzo Deufemia, Viviana Masca...
Sketch recognition systems are currently being developed for many domains, but can be time consuming to build if they are to handle the intricacies of each domain. In order to aid...
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Constraint satisfaction problems (CSPs) are ubiquitous in many real-world contexts. However, modeling a problem as a CSP can be very challenging, usually requiring considerable ex...
Computer-based games and technologies can be significant aids for helping children learn. However, most computer-based games simply address the learning styles of visual and audit...
Brandon Paulson, Brian Eoff, Aaron Wolin, Joshua J...
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features ext...
Sketch recognition systems usually recognize strokes either as stylistic gestures or geometric shapes. Both techniques have their advantages. This paper presents a method for inte...
We present SketchREAD, a multi-domain sketch recognition engine capable of recognizing freely hand-drawn diagrammatic sketches. Current computer sketch recognition systems are dif...
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...