Robust Feature Classification and Editing

Sharp edges, ridges, valleys, and prongs are critical for the appearance and an accurate representation of a 3D model. In this paper, we propose a novel approach that deals with the global shape of features in a robust way. Based on a remeshing algorithm which delivers an isotropic mesh in a feature...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2007-01, Vol.13 (1), p.34-45
Main Authors: Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Wallner, J., Pottmann, H.
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Classification
Computer vision
Editing
feature classification
feature editing
Feature extraction
Feature sensitivity
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Invariants
morphology
Pattern Recognition, Automated - methods
Recognition
remeshing
Representations
Reproducibility of Results
Ridges
Robustness
Rough surfaces
Sensitivity and Specificity
Shape
Smoothing methods
Solid modeling
Surface fitting
Surface morphology
Surface roughness
Three dimensional
Valleys
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Summary:Sharp edges, ridges, valleys, and prongs are critical for the appearance and an accurate representation of a 3D model. In this paper, we propose a novel approach that deals with the global shape of features in a robust way. Based on a remeshing algorithm which delivers an isotropic mesh in a feature-sensitive metric, features are recognized on multiple scales via integral invariants of local neighborhoods. Morphological and smoothing operations are then used for feature region extraction and classification into basic types such as ridges, valleys, and prongs. The resulting representation of feature regions is further used for feature-specific editing operations
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2007.19