SHREC'19 track: Feature Curve Extraction on Triangle Meshes
| العنوان: | SHREC'19 track: Feature Curve Extraction on Triangle Meshes |
|---|---|
| المؤلفون: | Moscoso Thompson, E., Arvanitis, G., Moustakas, K., Hoang-Xuan, N., Nguyen, E. R., Tran, M., Thibault Lejemble, Loic Barthe, Nicolas Mellado, Romanengo, C., Biasotti, S., Falcidieno, B. |
| المساهمون: | Structural Models and Tools in Computer Graphics (IRIT-STORM), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | Eurographics Workshop on 3D Object Retrieval (2019), pp. 85–92, Genova, Italy, 5-6 May, 2019 info:cnr-pdr/source/autori:E. Moscoso Thompsony, G. Arvanitis, K. Moustakas, N. Hoang-Xuan, E.R. Nguyen, M. Tran, T. Lejemble, L. Barthe, N. Mellado, C. Romanengo, S. Biasotti, and B. Falcidieno/congresso_nome:Eurographics Workshop on 3D Object Retrieval (2019)/congresso_luogo:Genova, Italy/congresso_data:5-6 May, 2019/anno:2019/pagina_da:85/pagina_a:92/intervallo_pagine:85–92 12th EG Workshop 3D Object Retrieval 2019 12th EG Workshop 3D Object Retrieval 2019, May 2019, Gênes, Italy. pp.1-8 HAL |
| بيانات النشر: | The Eurographics Association, Goslar, DEU, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Search methodologies, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, CCS Concepts • Information systems → Content analysis and feature selection, • Computing methodologies → Shape analysis, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO]Computer Science [cs], Information systems: Content analysis and feature selection, Computing methodologies: Shape analysis, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
| الوصف: | International audience; This paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challenge consists in automatically extracting a subset of the mesh vertices that jointly represent a feature curve. As an optional task, participants were requested to send also a similarity evaluation among the feature curves extracted. The various approaches presented by the participants are discussed, together with their results. The proposed methods highlight different points of view of the problem of feature curve extraction. It is interesting to see that it is possible to deal with this problem with good results, despite the different approaches. |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b39bec3a22611d1a84c86b7f11b7df7cTest https://diglib.eg.org/handle/10.2312/3dor20191066Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.dedup.wf.001..b39bec3a22611d1a84c86b7f11b7df7c |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |