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Publication Detail
Learning Sketch-based 3D Modelling From A User's Sketching Gestures
To infer three-dimensional models from two-dimensional sketches, most of the existent research focuses on image similarity, requiring a minimum of drawing skills, which is often beyond regular user’s capability. This paper proposes to learn the mapping from the user’s sketch into the three dimensional model by considering the sketch as a set of gestures contain- ing information that denotes the user’s own style of sketching. The system learns from the specific user and provides a per- sonalised inference for future sketches. A study is conducted with four representative users of different skills to consider the diversity on sketching styles over a set of three 3D prim- itive figures. The implemented system is validated by three representative users, demonstrating that the system learns the users’ style independently of their skills.
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