Classifying Sketches of Animals Using an Agent-Based System
نویسندگان
چکیده
A technique for the classification and understanding of child-like sketches of animals, using a live pen-based input device is demonstrated. A method of segmenting the sketch using curve differentials in addition to pen speed is shown. Once this stage is completed, an agent-based search of the resultant data begins in an attempt to isolate recognisable high-level features within the sketch. The context between probable matches for these features is used by the agents in assessing their success in identifying features correctly.
منابع مشابه
Agent-based sketch recognition
A technique for the classification and ‘understanding’ of ‘child-like’ sketches is explained. Using a live pen-based input device, sketches of animals are classified using our system: SIVA (Sketch Understanding Via Agents). We separate the task into three sub-problems: Sketch segmentation, segment matching and a contextual conflict-resolution system. A successful sketch segmentation method invo...
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