Object Identification and Categorization with Visual Context
Hierarchical Graphical Model-based Approaches
(Sprache: Englisch)
The goal of object recognition is to label objects from images and to estimate the poses of the labeled objects. The field of object recognition has seen tremendous progress with successful applications in some specific domains such as face recognition....
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The goal of object recognition is to label objects from images and to estimate the poses of the labeled objects. The field of object recognition has seen tremendous progress with successful applications in some specific domains such as face recognition. However, the current state-of-the-art methods show unsatisfactory results for more general object domains in complex natural environments with visual ambiguities. In this dissertation, we aim to enhance the object identification and categorization with theguide of visual context and graphical model. In this work, we propose a general framework for the cooperative object identification and object categorization. Examplars used in identification provide useful information of similarity in categorization. Conversely, novel objects are rejected in identification but the proposed object categorization can label the novel objects and segment them out for database update in identification. This work can be helpful to the engineers in artificial intelligence and machine vision.
Autoren-Porträt von Sung-ho Kim, In So Kweon
Kim, SunghoSungho Kim#201 111-7, Eoeun-dong Yuseong-gu, Daejeon, Korea, 305-333Senior Researcher at the Agency for Defense Development, 2007~Current.Korea Advanced Institute of Science and Technology (KAIST), Ph.D. Degree, 2007.Korea Advanced Institute of Science and Technology (KAIST), M.S., 2002.Korea University, B.S., 2000.So Kweon, In
In So Kweon received the Ph.D. in robotics from Carnegie Mellon University, in 1990. Since 1992, he has been a Professor of Electrical Engineering at KAIST.
Bibliographische Angaben
- Autoren: Sung-ho Kim , In So Kweon
- 2008, 208 Seiten, Maße: 15 x 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller e.K.
- ISBN-10: 3639010337
- ISBN-13: 9783639010336
- Erscheinungsdatum: 17.10.2013
Sprache:
Englisch
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