Abstract
Continued improvements and rising ubiquity in touchscreen and motion-sensing technologies enable users to leverage mid-air input modalities for intelligent surface sketching into the third dimension. However, existing approaches largely either focus on constrained 3D gesture sets, require specialized hardware setups, or do not deviate beyond surface sketching assumptions. We present InvisiShapes, a recognition system for users to sketch 3D geometric primitives in continuous interaction spaces that explore surfaces and mid-air environments. Our system leverages a collection of sketch and gesture recognition techniques and heuristics and takes advantage of easily accessible computing hardware for users to incorporate depth to their sketches. From our interaction study and user evaluations, we observed that our system successfully accomplishes strong recognition and intuitive interaction capabilities on collected sketch+motion data and interactive sketching scenarios, respectively.
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Taele, P., Hammond, T. (2017). InvisiShapes: A Recognition System for Sketched 3D Primitives in Continuous Interaction Spaces. In: Chen, Y., Christie, M., Tan, W. (eds) Smart Graphics. SG 2015. Lecture Notes in Computer Science(), vol 9317. Springer, Cham. https://doi.org/10.1007/978-3-319-53838-9_5
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DOI: https://doi.org/10.1007/978-3-319-53838-9_5
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