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Pregled bibliografske jedinice broj: 875035

Zbornik radova

Autori: Đonlić, Matea; Petković, Tomislav; Peharec, Stanislav; Berryman, Fiona; Pribanić, Tomislav
Naslov: On the Segmentation of Scanned 3D Human Body Models
( On the Segmentation of Scanned 3D Human Body Models )
Izvornik: Proceedings of the 8th International Scientific Conference on Kinesiology / Milanović, Dragan ; Sporiš, Goran ; Šalaj, Sanja ; Škegro, Dario (ur.). - Zagreb, Hrvatska : Faculty of Kinesiology, University of Zagreb, Croatia , 2017. 694-697 (ISBN: 978-953-317-049-7).
Skup: 8th International Scientific Conference on Kinesiology
Mjesto i datum: Opatija, Hrvatska, 10-14.05.2017.
Ključne riječi: anthropometry, human body segmentation, SL scanning system
( anthropometry, human body segmentation, SL scanning system )
Sažetak:
Analysing the human body in three-dimensional (3D) space is becoming more and more popular due to the large number of available 3D scanning solutions. Using 3D body models enables detection of many different body parameters which cannot be assessed using 2D images only. Once a 3D body model is generated, it is usually segmented so that specific body parts can be further analysed. In this paper we propose a new approach to the segmentation of the human body. Our anthropometry-based approach can successfully segment various body- types into six main segments – head, torso, left and right arm, and left and right leg. The proposed method has been tested successfully on standard benchmark models and on 3D point cloud data acquired from a low-cost 3D scanner.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: HRZZ-IP-2013-11-3717
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo
Puni text rada: 875035.On_the_Segmentation_of_Scanned_3D_Human_Body_Models.pdf (tekst priložen 15. Svi. 2017. u 12:22 sati)
Upisao u CROSBI: Matea Đonlić (matea.donlic@fer.hr), 15. Svi. 2017. u 12:10 sati



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