SimSelect: Similarity-based selection for 3D surfaces

Surface selection is one of the fundamental interactions in shape modeling. In the case of complex models, this task is often tedious for at least two reasons: firstly the local geometry of a given region may be hard to manually select and needs great accuracy; secondly the selection process may hav...

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Published inComputer graphics forum Vol. 33; no. 2; pp. 165 - 173
Main Authors Guy, Emilie, Thiery, Jean-Marc, Boubekeur, Tamy
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.05.2014
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ISSN0167-7055
1467-8659
DOI10.1111/cgf.12306

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Abstract Surface selection is one of the fundamental interactions in shape modeling. In the case of complex models, this task is often tedious for at least two reasons: firstly the local geometry of a given region may be hard to manually select and needs great accuracy; secondly the selection process may have to be repeated a large number of times for similar regions requiring similar subsequent editing. We propose SimSelect, a new system for interactive selection on 3D surfaces addressing these two issues. We cope with the accuracy issue by classifying selections in different types, namely components, parts and patches for which we independently optimize the selection process. Second, we address the repetitiveness issue by introducing an expansion process based on shape recognition which automatically retrieves potential selections similar to the user‐defined one. As a result, our system provides the user with a compact set of simple interaction primitives providing a smooth select‐and‐edit workflow.
AbstractList Surface selection is one of the fundamental interactions in shape modeling. In the case of complex models, this task is often tedious for at least two reasons: firstly the local geometry of a given region may be hard to manually select and needs great accuracy; secondly the selection process may have to be repeated a large number of times for similar regions requiring similar subsequent editing. We propose SimSelect, a new system for interactive selection on 3D surfaces addressing these two issues. We cope with the accuracy issue by classifying selections in different types, namely components, parts and patches for which we independently optimize the selection process. Second, we address the repetitiveness issue by introducing an expansion process based on shape recognition which automatically retrieves potential selections similar to the user‐defined one. As a result, our system provides the user with a compact set of simple interaction primitives providing a smooth select‐and‐edit workflow.
Surface selection is one of the fundamental interactions in shape modeling. In the case of complex models, this task is often tedious for at least two reasons: firstly the local geometry of a given region may be hard to manually select and needs great accuracy; secondly the selection process may have to be repeated a large number of times for similar regions requiring similar subsequent editing. We propose SimSelect, a new system for interactive selection on 3D surfaces addressing these two issues. We cope with the accuracy issue by classifying selections in different types, namely components, parts and patches for which we independently optimize the selection process. Second, we address the repetitiveness issue by introducing an expansion process based on shape recognition which automatically retrieves potential selections similar to the user-defined one. As a result, our system provides the user with a compact set of simple interaction primitives providing a smooth select-and-edit workflow. [PUBLICATION ABSTRACT]
Author Boubekeur, Tamy
Thiery, Jean-Marc
Guy, Emilie
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Snippet Surface selection is one of the fundamental interactions in shape modeling. In the case of complex models, this task is often tedious for at least two reasons:...
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SubjectTerms Accuracy
Analysis
and systems
Categories and Subject Descriptors (according to ACM CCS)
Classification
Computer graphics
Editing
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric algorithms
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems
I.3.6 [Computer Graphics]: Methodology and Techniques-Interaction techniques
I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Shape
Interactive
languages
Software
Studies
Surface hardness
Tasks
Three dimensional
User interface
Workflow
Title SimSelect: Similarity-based selection for 3D surfaces
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https://www.proquest.com/docview/1551078937
Volume 33
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