Sketching in Gestalt Space: Interactive Shape Abstraction through Perceptual Reasoning. (16th January 2018)

• Record Type: Journal Article
• Authors: Kratt, J.; Niese, T.; Hu, R.; Huang, H.; Pirk, S.; Sharf, A.; Cohen‐Or, D.; Deussen, O.
• Is Part Of: Computer graphics forum. Volume 37:Number 6(2018)
• Page Start: 188
• Page End: 204
• Publication Date: 2018-01-16
• Subjects: computational geometry -- modelling -- interaction techniques -- interaction -- level‐of‐detail algorithms -- Computing methodologies → Shape modelling; Shape analysis; Perception; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13321
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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. Abstract : 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.