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On the Segmentation of Scanned 3D Human Body Models


Đonlić, Matea; Petković, Tomislav; Peharec, Stanislav; Berryman, Fiona; Pribanić, Tomislav
On the Segmentation of Scanned 3D Human Body Models // 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. str. 694-697 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
On the Segmentation of Scanned 3D Human Body Models

Autori
Đonlić, Matea ; Petković, Tomislav ; Peharec, Stanislav ; Berryman, Fiona ; Pribanić, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 8th International Scientific Conference on Kinesiology / Milanović, Dragan ; Sporiš, Goran ; Šalaj, Sanja ; Škegro, Dario - 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.

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-3717 - 3D sustav za mjerenje oblika trupa tijela (Tomislav Pribanić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb