Inhaltsangabe
Humans make object recognition look trivial. We can easily identify objects in our surroundings, regardless of their circumstances, whether they are upside down, different of colour or texture, partly occluded, etc. Even objects that appear in many different forms, like vases, or objects that are subject to considerable shape deviations, such as trees, can easily be generalized by our brain to one kind of object. Objet identification is done by integrating scale invariant feature extraction (SIFT) and shape index representation of range images allows matching of surface with different scales and orientations. Shape index is obtained and which is used as a local descriptor or key-point descriptor. Key-point descriptors are identified where shape index values are extremum. So, proposed project is for object identification uses 2 different properties like 3D surface properties for shape index identification and 2D scale invariant feature transform for key-point detection and feature extraction. This proposed method may be applicable for scaled, rotated and occluded range images.
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Über die Autorin bzw. den Autor
Kishore Kumar D recebeu o seu Mestrado em Engenharia de Software da Universidade VIT de Vellore no ano de 2015. Realizou vários projectos. Está a trabalhar na Cognizant Tech. Sols. O segundo autor, Chiranji Lal Chowdhary, obteve o seu B.E. e M.Tech. em CSE. Tem mais de 10 anos de experiência no ensino e na investigação. Está a trabalhar na Universidade VIT de Vellore, na Índia.
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ShapeIndex based Applications of Local Features for Object Recognition
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Humans make object recognition look trivial. We can easily identify objects in our surroundings, regardless of their circumstances, whether they are upside down, different of colour or texture, partly occluded, etc. Even objects that appear in many different forms, like vases, or objects that are subject to considerable shape deviations, such as trees, can easily be generalized by our brain to one kind of object. Objet identification is done by integrating scale invariant feature extraction (SIFT) and shape index representation of range images allows matching of surface with different scales and orientations. Shape index is obtained and which is used as a local descriptor or key-point descriptor. Key-point descriptors are identified where shape index values are extremum. So, proposed project is for object identification uses 2 different properties like 3D surface properties for shape index identification and 2D scale invariant feature transform for key-point detection and feature extraction. This proposed method may be applicable for scaled, rotated and occluded range images. 68 pp. Englisch. Bestandsnummer des Verkäufers 9783659885839
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ShapeIndex based Applications of Local Features for Object Recognition
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kishore Kumar D.Kishore Kumar D received his M.S in Software Engg from VIT University Vellore in the year 2015. He has done many projects. He is working in Cognizant Tech. Sols. Second Author, Chiranji Lal Chowdhary obtained his B.E. Bestandsnummer des Verkäufers 158248632
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ShapeIndex based Applications of Local Features for Object Recognition
Verlag:
LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659885835
ISBN 13: 9783659885839
Neu
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Taschenbuch. Zustand: Neu. Neuware -Humans make object recognition look trivial. We can easily identify objects in our surroundings, regardless of their circumstances, whether they are upside down, different of colour or texture, partly occluded, etc. Even objects that appear in many different forms, like vases, or objects that are subject to considerable shape deviations, such as trees, can easily be generalized by our brain to one kind of object. Objet identification is done by integrating scale invariant feature extraction (SIFT) and shape index representation of range images allows matching of surface with different scales and orientations. Shape index is obtained and which is used as a local descriptor or key-point descriptor. Key-point descriptors are identified where shape index values are extremum. So, proposed project is for object identification uses 2 different properties like 3D surface properties for shape index identification and 2D scale invariant feature transform for key-point detection and feature extraction. This proposed method may be applicable for scaled, rotated and occluded range images.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Bestandsnummer des Verkäufers 9783659885839
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ShapeIndex based Applications of Local Features for Object Recognition
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ISBN 10: 3659885835
ISBN 13: 9783659885839
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Humans make object recognition look trivial. We can easily identify objects in our surroundings, regardless of their circumstances, whether they are upside down, different of colour or texture, partly occluded, etc. Even objects that appear in many different forms, like vases, or objects that are subject to considerable shape deviations, such as trees, can easily be generalized by our brain to one kind of object. Objet identification is done by integrating scale invariant feature extraction (SIFT) and shape index representation of range images allows matching of surface with different scales and orientations. Shape index is obtained and which is used as a local descriptor or key-point descriptor. Key-point descriptors are identified where shape index values are extremum. So, proposed project is for object identification uses 2 different properties like 3D surface properties for shape index identification and 2D scale invariant feature transform for key-point detection and feature extraction. This proposed method may be applicable for scaled, rotated and occluded range images. Bestandsnummer des Verkäufers 9783659885839
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ShapeIndex based Applications of Local Features for Object Recognition
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ISBN 10: 3659885835
ISBN 13: 9783659885839
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Taschenbuch. Zustand: Neu. ShapeIndex based Applications of Local Features for Object Recognition | D. Kishore Kumar (u. a.) | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659885839 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103740209
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