Počet záznamů: 1
Vision Systems, Segmentation & Pattern Recognition
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SYSNO ASEP 0084742 Druh ASEP M - Kapitola v monografii Zařazení RIV C - Kapitola v knize Název Multimodal Range Image Segmentation Překlad názvu Multimodální segmentace hloubkových map Tvůrce(i) Haindl, Michal (UTIA-B) RID, ORCID
Žid, Pavel (UTIA-B) RID, ORCIDZdroj.dok. Vision Systems, Segmentation & Pattern Recognition. - Vienna : I-Tech Education and Publishing, Vienna, 2007 / Obinata Goro ; Dutta Ashish - ISBN 978-3-902613-05-9 Rozsah stran s. 25-46 Poč.str. 22 s. Jazyk dok. eng - angličtina Země vyd. AT - Rakousko Klíč. slova Range segmentation ; unsupervised segmentation Vědní obor RIV BD - Teorie informace CEP 1ET400750407 GA AV ČR - Akademie věd 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy IAA2075302 GA AV ČR - Akademie věd CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2008
Počet záznamů: 1