Výsledky vyhledávání - "E. Moscoso Thompson"

Automatic Segmentation of Archaeological Fragments with Relief Patterns using Convolutional Neural Networks

Autor: E. Moscoso Thompson, A. Ranieri, S. Biasotti

Publikováno v: EUROGRAPHICS Workshop on Graphics and Cultural Heritage (2021), pp. 93–102, Bournemouth, UK, November 4-6, 2021
info:cnr-pdr/source/autori:E. Moscoso Thompson, A. Ranieri, S. Biasotti/congresso_nome:EUROGRAPHICS Workshop on Graphics and Cultural Heritage (2021)/congresso_luogo:Bournemouth, UK/congresso_data:November 4-6, 2021/anno:2021/pagina_da:93/pagina_a:102/intervallo_pagine:93–102

The recent commodification of high-quality 3D scanners is leading to the possibility of capturing models of archaeological finds and automatically recognizing their surface reliefs. We present our advancements in this field using Convolutional Neural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b637f31d6314bb0fde9f6b0e67f1959

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SHREC'20 track: Retrieval of digital surfaces with similar geometric reliefs

Publikováno v: Computers and Graphics
Computers and Graphics, Elsevier, 2020, 91, pp.199-218. ⟨10.1016/j.cag.2020.07.011⟩
CONCYTEC-Institucional
Consejo Nacional de Ciencia Tecnología e Innovación Tecnológica
instacron:CONCYTEC
Computers & graphics 91 (2020): 199–218. doi:10.1016/j.cag.2020.07.011
info:cnr-pdr/source/autori:E. Moscoso Thompson, S. Biasotti, A. Giachetti, C. Tortorici, N. Werghi, A. Shaker, S. Berretti, H. Nguyen-Dinh, M-Q. Le, H-D. Nguyen, M.-T. Tran, L. Gigli, S. Velasco-Forero, B. Marcotegui, I. Sipiran, B. Bustos, I. Romanelis, V. Fotis, G. Arvanitis, K. Moustakas, E. Otu, R. Zwiggelaar, D.Hunter, Y.Liu, Y. Arteaga, R. Luxman/titolo:SHREC'20 Track: Retrieval of digital surfaces with similar geometric reliefs/doi:10.1016%2Fj.cag.2020.07.011/rivista:Computers & graphics/anno:2020/pagina_da:199/pagina_a:218/intervallo_pagine:199–218/volume:91

International audience; This paper presents the methods that have participated in the SHREC'20 contest on retrieval of surface patches with similar geometric reliefs and 1 the analysis of their performance over the benchmark created for this challeng

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fa7736dd5f2aea90c36c94b23dc9195f
https://hal.archives-ouvertes.fr/hal-02916788/document

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Autor: S. Biasotti, E. Moscoso Thompson, M. Spagnuolo

Publikováno v: Workshop GRAVITATE, Visual Heritage 2018, Vienna, November 12-15, 2018
info:cnr-pdr/source/autori:S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo/congresso_nome:Workshop GRAVITATE, Visual Heritage 2018/congresso_luogo:Vienna/congresso_data:November 12-15, 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine

The creation of an increasing number of high-fidelity 3D models of objects and environments has opened new opportunities to study the past, by giving access to plenty of representations of artefacts close to their original form. Besides their 3D geom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::ebfa876f13449bc359b80d0249f56f47
https://publications.cnr.it/doc/394244

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Edge-based LBP description of surfaces with colorimetric patterns

Autor: E. Moscoso Thompson and S. Biasotti

Publikováno v: EG 3DOR 2018-Eurographics Workshop on 3D Object Retrieval, pp. 1–8, Delft, The Netherlands, April 16, 2018
info:cnr-pdr/source/autori:E. Moscoso Thompson and S. Biasotti/congresso_nome:EG 3DOR 2018-Eurographics Workshop on 3D Object Retrieval/congresso_luogo:Delft, The Netherlands/congresso_data:April 16, 2018/anno:2018/pagina_da:1/pagina_a:8/intervallo_pagine:1–8

In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is to code the variability of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::1ea6349fcd2d40b76cef5e27bf77e060
http://www.cnr.it/prodotto/i/387166

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Autor: S. Biasotti, E. Moscoso Thompson, M. Spagnuolo

Publikováno v: Eurographics Workshop on 3D Object Retrieval (2018)
EG 3DOR 2018-Eurographics Workshop on 3D Object Retrieval, pp. 103–110, Delft, The Netherlands, April 16, 2018
info:cnr-pdr/source/autori:S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo/congresso_nome:EG 3DOR 2018-Eurographics Workshop on 3D Object Retrieval/congresso_luogo:Delft, The Netherlands/congresso_data:April 16, 2018/anno:2018/pagina_da:103/pagina_a:110/intervallo_pagine:103–110

In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeological excavations return artifacts that often are damaged with parts th

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Autor: S. Biasotti, E. Moscoso Thompson, M. Spagnuolo

Publikováno v: Shape Modeling International (SMI) 2018, Delft, The Netherlands, 6-8 June, 2018
info:cnr-pdr/source/autori:S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo/congresso_nome:Shape Modeling International (SMI) 2018/congresso_luogo:Delft, The Netherlands/congresso_data:6-8 June, 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine

N/A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::e8e40168ed8b78b046b811f28ab34235
http://www.cnr.it/prodotto/i/394242

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Analysis of a multi-ring technique for 3D pattern recognition

Autor: E. Moscoso Thompson and S. Biasotti

Publikováno v: 17-12, 2017

Pattern characterization of geometric features is of great interest in the cultural heritage domain, as the style of the some parts such beards, hairs, helms or cuirass decorations would support and enhance the classification and/or cataloguing of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::21dadebd8ae562d4e002dd06d61489ab
http://irs.imati.cnr.it/reports/irs17-12

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