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On the Segmentation of Scanned 3D Human Body Models (CROSBI ID 647664)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

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 et al. (ur.). Zagreb: Kineziološki fakultet Sveučilišta u Zagrebu, 2017. str. 694-697

Podaci o odgovornosti

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

engleski

On the Segmentation of Scanned 3D Human Body Models

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.

anthropometry, human body segmentation, SL scanning system

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Podaci o prilogu

694-697.

2017.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 8th International Scientific Conference on Kinesiology

Milanović, Dragan ; Sporiš, Goran ; Šalaj, Sanja ; Škegro, Dario

Zagreb: Kineziološki fakultet Sveučilišta u Zagrebu

978-953-317-049-7

Podaci o skupu

8TH INTERNATIONAL SCIENTIFIC CONFERENCE ON KINESIOLOGY

poster

10.05.2017-14.05.2017

Opatija, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo