Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Atsushi Tatsuma"'
Publikováno v:
Multimedia Tools and Applications. 76:22059-22076
We have witnessed 3D shape models abundant in many application fields including 3D CAD/CAM, augmented/mixed reality (AR/MR), and entertainment. Creating 3D shape models from scratch is still very expensive. Efficient and accurate methods for shape re
Autor:
Masaki Aono, Atsushi Tatsuma
Publikováno v:
IEICE Transactions on Information and Systems. :1711-1715
Autor:
Masaki Aono, Atsushi Tatsuma
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 25:556-567
Autor:
Gary K. L. Tam, Sheng Cheng, Chunyuan Li, Atsushi Tatsuma, Zhouhui Lian, Yijuan Lu, Bo Li, Henry Johan, L. Lai, Andrea Giachetti, Valeria Garro, Umberto Castellani, Zhi-Quan Cheng, Junwei Han, Paul L. Rosin, Afzal Godil, David Pickup, Michael M. Bronstein, Roee Litman, Shuhui Bu, A. Ben Hamza, Jianbo Ye, Luca Isaia, Masaki Aono, X. Liu, Haisheng Li, L. Sun, Z. Liu, Xianfang Sun, Alexander M. Bronstein, Ralph R. Martin
Publikováno v:
International Journal of Computer Vision 120 (2016): 169–193. doi:10.1007/s11263-016-0903-8
info:cnr-pdr/source/autori:Pickup D.; Sun X.; Rosin P.L.; Martin R.R.; Cheng Z.; Lian Z.; Aono M.; Hamza A.B.; Bronstein A.; Bronstein M.; Bu S.; Castellani U.; Cheng S.; Garro V.; Giachetti A.; Godil A.; Isaia L.; Han J.; Johan H.; Lai L.; Li B.; Li C.; Li H.; Litman R.; Liu X.; Liu Z.; Lu Y.; Sun L.; Tam G.; Tatsuma A.; Ye J./titolo:Shape Retrieval of Non-rigid 3D Human Models/doi:10.1007%2Fs11263-016-0903-8/rivista:International Journal of Computer Vision/anno:2016/pagina_da:169/pagina_a:193/intervallo_pagine:169–193/volume:120
info:cnr-pdr/source/autori:Pickup D.; Sun X.; Rosin P.L.; Martin R.R.; Cheng Z.; Lian Z.; Aono M.; Hamza A.B.; Bronstein A.; Bronstein M.; Bu S.; Castellani U.; Cheng S.; Garro V.; Giachetti A.; Godil A.; Isaia L.; Han J.; Johan H.; Lai L.; Li B.; Li C.; Li H.; Litman R.; Liu X.; Liu Z.; Lu Y.; Sun L.; Tam G.; Tatsuma A.; Ye J./titolo:Shape Retrieval of Non-rigid 3D Human Models/doi:10.1007%2Fs11263-016-0903-8/rivista:International Journal of Computer Vision/anno:2016/pagina_da:169/pagina_a:193/intervallo_pagine:169–193/volume:120
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid 3D s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0eac7a71dc6317d2321969a06c94ab1
https://publica.fraunhofer.de/handle/publica/246998
https://publica.fraunhofer.de/handle/publica/246998
Autor:
Masaki Aono, Atsushi Tatsuma, Chunyuan Li, Valeria Garro, Silvia Biasotti, M. Spagnuolo, A. Ben Hamza, Afzal Godil, Andrea Cerri, Chika Sanada, Andrea Giachetti, Santiago Velasco-Forero, Daniela Giorgi
Publikováno v:
The visual computer 32 (2016): 217–241. doi:10.1007/s00371-015-1146-3
The Visual Computer
The Visual Computer, 2015, 32 (2), pp.217-241. ⟨10.1007/s00371-015-1146-3⟩
info:cnr-pdr/source/autori:Biasotti S.M.; Cerri A.; Aono M.; Hamza A.B.; Garro V.; Giachetti A.; Giorgi D.; Godil A.A.; Li G.C.; Sanada C.; Spagnuolo M.; Tatsuma A.; Velasco Forero S./titolo:Retrieval and classification methods for textured 3D models: a comparative study/doi:10.1007%2Fs00371-015-1146-3/rivista:The visual computer/anno:2016/pagina_da:217/pagina_a:241/intervallo_pagine:217–241/volume:32
The Visual Computer, Springer Verlag, 2015, 32 (2), pp.217-241. ⟨10.1007/s00371-015-1146-3⟩
The Visual Computer
The Visual Computer, 2015, 32 (2), pp.217-241. ⟨10.1007/s00371-015-1146-3⟩
info:cnr-pdr/source/autori:Biasotti S.M.; Cerri A.; Aono M.; Hamza A.B.; Garro V.; Giachetti A.; Giorgi D.; Godil A.A.; Li G.C.; Sanada C.; Spagnuolo M.; Tatsuma A.; Velasco Forero S./titolo:Retrieval and classification methods for textured 3D models: a comparative study/doi:10.1007%2Fs00371-015-1146-3/rivista:The visual computer/anno:2016/pagina_da:217/pagina_a:241/intervallo_pagine:217–241/volume:32
The Visual Computer, Springer Verlag, 2015, 32 (2), pp.217-241. ⟨10.1007/s00371-015-1146-3⟩
International audience; This paper presents a comparative study of six methods for the retrieval and classification of tex-tured 3D models, which have been selected as representative of the state of the art. To better analyse and control how methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db117bd322d23e07b839ad5bcaba6f4b
https://openportal.isti.cnr.it/doc?id=people______::6c29dca9204102ae9cb700744bcc8e64
https://openportal.isti.cnr.it/doc?id=people______::6c29dca9204102ae9cb700744bcc8e64
Autor:
Masaki Aono, Atsushi Tatsuma
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 13:341-342
Autor:
Masaki Aono, Atsushi Tatsuma
Publikováno v:
The Visual Computer. 25:785-804
We propose a new method of similarity search for 3D shape models, given an arbitrary 3D shape as a query. The method features the high search performance enabled in part by our unique feature vector called Multi-Fourier Spectra Descriptor (MFSD), and
Autor:
Haisheng Li, Masaki Aono, Atsushi Tatsuma, Nihad Karim Chowdhury, Hitoshi Koyanagi, Chunyuan Li, Bin Fang, Tobias Schreck, Changqing Zou, Takahiko Furuya, Chaoli Zhang, Ryuichi Kosaka, Yijuan Lu, Ryutarou Ohbuchi, Afzal Godil, Jianzhuang Liu, Yajuan Wan, Hongbo Fu, Bo Li, Henry Johan, Martin Burtscher, Qiang Chen
Build a large-scale 3D shape retrieval benchmark that supports multi-modal queries.Evaluate the 26 3D shape retrieval methods using 3 types of metrics.Solicit and identify state-of-the-art methods and promising related techniques.Perform detailed ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296f01face5c6b08d055a9ca5d58caa7
https://publica.fraunhofer.de/handle/publica/239502
https://publica.fraunhofer.de/handle/publica/239502
Publikováno v:
APSIPA
With the increased use of 3D shape objects in a wide range of fields, photo-based 3D shape retrieval has recently attracted attention. Photo-based 3D shape retrieval is a newly developed search technique to retrieve 3D shape objects using a 2D photo
Publikováno v:
APSIPA
Although quite a few 3D shape descriptors have been proposed for more than a decade, 3D shape retrieval has remained a still challenging research. No single 3D shape descriptor has been known to outperform all the different types of 3D shape geometri