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Recognizing Indoor Scenes

dc.date.accessioned2004-10-20T21:03:41Z
dc.date.accessioned2018-11-24T10:23:28Z
dc.date.available2004-10-20T21:03:41Z
dc.date.available2018-11-24T10:23:28Z
dc.date.issued2001-07-25en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7236
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7236
dc.description.abstractWe propose a scheme for indoor place identification based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolution spatial and spectral information. The holistic nature of the representation dispenses with the need to rely on specific objects or local landmarks and also renders it robust against variations in object configurations. We demonstrate the scheme on the problem of recognizing scenes in video sequences captured while walking through an office environment. We develop a method for distinguishing between 'diagnostic' and 'generic' views and also evaluate changes in system performances as a function of the amount of training data available and the complexity of the representation.en_US
dc.format.extent17 p.en_US
dc.format.extent14931961 bytes
dc.format.extent3219314 bytes
dc.language.isoen_US
dc.subjectAIen_US
dc.subjectScene classificationen_US
dc.subjectNavigationen_US
dc.subjectscene representationen_US
dc.titleRecognizing Indoor Scenesen_US


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