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VolumeNet: Flexible Model for Shape Classes


Cupec, Robert; Đurović, Petra
VolumeNet: Flexible Model for Shape Classes // ROBIO 2018
Kuala Lumpur, Malezija, 2018. str. 248-255 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
VolumeNet: Flexible Model for Shape Classes

Autori
Cupec, Robert ; Đurović, Petra

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

Izvornik
ROBIO 2018 / - , 2018, 248-255

Skup
ROBIO 2018, International conference on Robotics and Biomimetics

Mjesto i datum
Kuala Lumpur, Malezija, 12-15. 12. 2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
3D shape class, object classification

Sažetak
This paper proposes a novel approach for modelling 3D shape classes. The approach is based on approximating 3D shapes by polyhedrons created by unions or intersections of convex sets and complements of convex sets. Models of shape classes are created from training samples in the form of 3D triangular meshes. These models can be used to classify objects in depth images in one of previously learned object classes and to provide information about their pose and shape parameters. This ability of the proposed approach is its advantage over the most of the object classification methods, since it allows adaptation of a robot action defined for a referent model of an object class to the other instances of the same class. Application of the proposed approach for object classification is tested using a challenging 3DNet dataset. The obtained classification results are competitive to four well-known 3D shape descriptors.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2014-09-3155 - Napredna 3D percepcija za mobilne robotske manipulatore (Robert Cupec, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek