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Vision Systems, Segmentation & Pattern Recognition
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SYSNO ASEP 0084742 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Multimodal Range Image Segmentation Title Multimodální segmentace hloubkových map Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Žid, Pavel (UTIA-B) RID, ORCIDSource Title Vision Systems, Segmentation & Pattern Recognition. - Vienna : I-Tech Education and Publishing, Vienna, 2007 / Obinata Goro ; Dutta Ashish - ISBN 978-3-902613-05-9 Pages s. 25-46 Number of pages 22 s. Language eng - English Country AT - Austria Keywords Range segmentation ; unsupervised segmentation Subject RIV BD - Theory of Information R&D Projects 1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation Computer vision is an area of the computer science which aims to make computers to have some functions owned by human vision system. During the research on computer vision, we often think about "how human see". Obviously, when a human observer views a scene, the observer sees not the whole complex scene, but rather a collection of objects. A common experience of segmentation is the way that an image can resolve itself into a figure, typically the significant, important object, and a ground, the background on which the figure lies. The capability of human beings to segment the complex scene into separated objects is so efficient that we regard it as a mystery. At meantime, it appeals the researchers of computer vision who want to let computer have the same capability. So the task, Image Segmentation, is presented. The chapter describes new achievements in the area of multimodal range and intensity image unsupervised segmentation. This chapter is organised as follows. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2008
Number of the records: 1