3D Object Classification and Segmentation Methods

  • Žagar M
  • Kovač M
  • Knezović J
  • et al.
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Abstract

Future multimedia high-quality systems will be, among all, based on improving 3D visual experience. To raise 3D visual content quality and interactiv-ity 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 seg-mentations, 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.

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Žagar, M., Kovač, M., Knezović, J., Mlinarić, H., & Hofman, D. (2010). 3D Object Classification and Segmentation Methods (pp. 331–347). https://doi.org/10.1007/978-3-642-12802-8_14

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