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Appearance-based 3-D Object Recognition and Pose Estimation: Using PCA, ICA and SVD-PCA Techniques - Softcover

 
9783843391153: Appearance-based 3-D Object Recognition and Pose Estimation: Using PCA, ICA and SVD-PCA Techniques

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In Computer Vision,Image Processing, Artificial Intelligence and Neural Networks object recognition is one of the most successful applications of image or object analysis and understanding.The recognition system typically involves some sort of sensor,the use of a model database in which all the objects ?models? representations are saved,and a decision-making ability.When a sensor views an object the digitized image is processed so as to represent it in the same way as the models are represented in the databases.Then a recognition algorithm tries to find the model to which the object best matches.For the view-based recognition, the representations take into account the appearance of the object. To achieve 3D Object recognition(3DOR) the pose of objects are also saved in the database.In general two 3DOR techniques. They are Geometric feature-based approach and Appearance- based approach.The geometric feature-based approach uses properties of shape of object i.e. lines, curves,and vertices for object recognition descriptions.But appearance-based 3DOR is the combined effects of objects shape, reflectance properties,pose and the illumination.

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About the Author

Chiranji Lal Chowdhary received the B.E. in Computer Science & Engg. from M.B.M.Engg. College, JNV University,Jodhpur, and the M.Tech. in Computer Science & Engg. from M.S.Ramaiah Institute of Technology,Bangalore(VTU,Belgaum,IN). Presently he is working as faculty member at VIT University,Vellore,IN. Here he is also pursuing part-time PhD.

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  • PublisherLAP LAMBERT Academic Publishing
  • Publication date2011
  • ISBN 10 3843391157
  • ISBN 13 9783843391153
  • BindingPaperback
  • LanguageEnglish
  • Number of pages76

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In Computer Vision,Image Processing, Artificial Intelligence and Neural Networks object recognition is one of the most successful applications of image or object analysis and understanding.The recognition system typically involves some sort of sensor,the use of a model database in which all the objects models representations are saved,and a decision-making ability.When a sensor views an object the digitized image is processed so as to represent it in the same way as the models are represented in the databases.Then a recognition algorithm tries to find the model to which the object best matches.For the view-based recognition, the representations take into account the appearance of the object. To achieve 3D Object recognition(3DOR) the pose of objects are also saved in the database.In general two 3DOR techniques. They are Geometric feature-based approach and Appearance- based approach.The geometric feature-based approach uses properties of shape of object i.e. lines, curves,and vertices for object recognition descriptions.But appearance-based 3DOR is the combined effects of objects shape, reflectance properties,pose and the illumination. 76 pp. Englisch. Seller Inventory # 9783843391153

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Computer Vision,Image Processing, Artificial Intelligence and Neural Networks object recognition is one of the most successful applications of image or object analysis and understanding.The recognition system typically involves some sort of sensor,the use of a model database in which all the objects models representations are saved,and a decision-making ability.When a sensor views an object the digitized image is processed so as to represent it in the same way as the models are represented in the databases.Then a recognition algorithm tries to find the model to which the object best matches.For the view-based recognition, the representations take into account the appearance of the object. To achieve 3D Object recognition(3DOR) the pose of objects are also saved in the database.In general two 3DOR techniques. They are Geometric feature-based approach and Appearance- based approach.The geometric feature-based approach uses properties of shape of object i.e. lines, curves,and vertices for object recognition descriptions.But appearance-based 3DOR is the combined effects of objects shape, reflectance properties,pose and the illumination. Seller Inventory # 9783843391153

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chowdhary Chiranji LalChiranji Lal Chowdhary received the B.E. in Computer Science & Engg. from M.B.M.Engg. College, JNV University,Jodhpur, and the M.Tech. in Computer Science & Engg. from M.S.Ramaiah Institute of Technology,Bangal. Seller Inventory # 5468938

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Taschenbuch. Condition: Neu. Neuware -In Computer Vision,Image Processing, Artificial Intelligence and Neural Networks object recognition is one of the most successful applications of image or object analysis and understanding.The recognition system typically involves some sort of sensor,the use of a model database in which all the objects ¿models¿ representations are saved,and a decision-making ability.When a sensor views an object the digitized image is processed so as to represent it in the same way as the models are represented in the databases.Then a recognition algorithm tries to find the model to which the object best matches.For the view-based recognition, the representations take into account the appearance of the object. To achieve 3D Object recognition(3DOR) the pose of objects are also saved in the database.In general two 3DOR techniques. They are Geometric feature-based approach and Appearance- based approach.The geometric feature-based approach uses properties of shape of object i.e. lines, curves,and vertices for object recognition descriptions.But appearance-based 3DOR is the combined effects of objects shape, reflectance properties,pose and the illumination.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9783843391153

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