Naslov
3D Object Classification and Segmentation Methods

Autori
Žagar, Martin ; Kovač, Mario ; Knezović, Josip ; Mlinarić, Hrvoje ; Hofman, Daniel

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
High-Quality Visual Experience: Creation, Processing and Interactivity of High-Resolution and High-Dimensional Video Signals (Signals and Communication Technology)

Urednik/ci
Mrak, Marta ; Grgic, Mislav ; Kunat, Murat

Izdavač
Springer

Grad
Berlin : Heidelberg

Godina
2010

Raspon stranica
331-349

ISBN
3642128017

Ključne riječi
Estimating the Local Shape, Corner Detection, 3D Object Segmentation, Detectable parts

Sažetak
Future multimedia high-quality systems will be, among all, based on improving 3D visual experience. To raise 3D visual content quality and interactivity it is necessary to enable segmentation and classification of content which involves dividing the scene into meaningful sub-regions with the same attributes. Partitioning the image into grouping objects has various different applications in a wide variety of areas, since distinctive features in raw images may appear unclear to the human eyes. Segmentation can be defined as the identification of meaningful image components. It is a fundamental task in image processing providing the basis for any kind of further high-level image analysis. There are many different ways of segmenting the 3D image, all of which can be considered as a good segmentations, depending on objects of interest on an image, and to a large extent, the user’s own subjectivity. Key issues in this chapter include different techniques for segmentation of 3D object based on classification on different regions and shapes.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

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