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Sketching in Gestalt Space: Interactive Shape Abstraction through Perceptual Reasoning
Author(s) -
Kratt J.,
Niese T.,
Hu R.,
Huang H.,
Pirk S.,
Sharf A.,
CohenOr D.,
Deussen O.
Publication year - 2018
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13321
Subject(s) - gestalt psychology , computer science , abstraction , perception , space (punctuation) , similarity (geometry) , human–computer interaction , semantics (computer science) , theoretical computer science , variety (cybernetics) , artificial intelligence , programming language , image (mathematics) , philosophy , epistemology , neuroscience , biology , operating system
We present an interactive method that allows users to easily abstract complex 3D models with only a few strokes. The key idea is to employ well‐known Gestalt principles to help generalizing user inputs into a full model abstraction while accounting for form, perceptual patterns and semantics of the model. Using these principles, we alleviate the user's need to explicitly define shape abstractions. We utilize structural characteristics such as repetitions, regularity and similarity to transform user strokes into full 3D abstractions. As the user sketches over shape elements, we identify Gestalt groups and later abstract them to maintain their structural meaning. Unlike previous approaches, we operate directly on the geometric elements, in a sense applying Gestalt principles in 3D. We demonstrate the effectiveness of our approach with a series of experiments, including a variety of complex models and two extensive user studies to evaluate our framework.