3D Object Classification and Segmentation Methods (CROSBI ID 42328)
Prilog u knjizi | izvorni znanstveni rad
Podaci o odgovornosti
Žagar, Martin ; Kovač, Mario ; Knezović, Josip ; Mlinarić, Hrvoje ; Hofman, Daniel
engleski
3D Object Classification and Segmentation Methods
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.
Estimating the Local Shape, Corner Detection, 3D Object Segmentation, Detectable parts
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Podaci o prilogu
331-349.
objavljeno
Podaci o knjizi
High-Quality Visual Experience: Creation, Processing and Interactivity of High-Resolution and High-Dimensional Video Signals (Signals and Communication Technology)
Mrak, Marta ; Grgic, Mislav ; Kunat, Murat
Berlin : Heidelberg: Springer
2010.
3642128017