On the Segmentation of Scanned 3D Human Body Models (CROSBI ID 647664)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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