書誌事項
- 公開日
- 2011-06-13
- 権利情報
-
- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
-
- 10.1111/j.1467-8659.2011.01967.x
- 公開者
- Wiley
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p><jats:italic>This paper presents a 3D‐mesh segmentation algorithm based on a learning approach. A large database of manually segmented 3D‐meshes is used to learn a boundary edge function. The function is learned using a classifier which automatically selects from a pool of geometric features the most relevant ones to detect candidate boundary edges. We propose a processing pipeline that produces smooth closed boundaries using this edge function. This pipeline successively selects a set of candidate boundary contours, closes them and optimizes them using a snake movement. Our algorithm was evaluated quantitatively using two different segmentation benchmarks and was shown to outperform most recent algorithms from the state‐of‐the‐art.</jats:italic></jats:p>
収録刊行物
-
- Computer Graphics Forum
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Computer Graphics Forum 30 (8), 2170-2182, 2011-06-13
Wiley
