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Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by LAP Lambert Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by LAP Lambert Academic Publishing 2016-06, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: Chiron Media, Wallingford, United Kingdom
Book
PF. Condition: New.
Published by LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a comparison of multiple approaches to visual terrain classification for outdoor mobile robots based on local features. For this purpose, we put a camera on a mobile robot and use it to capture images which are then analyzed to recognize the terrains present in these images. There are two sets of approaches that we use to classify terrains. The first is based on greyscale images and the second one is based on color images. For greyscale images, we use two different robot platforms for two different scenarios. The first robot platform is a wheeled outdoor robot. The second platform is a flying robot. For terrain classification, we modify and test three approaches called SURF, Daisy and Contrast Context Histogram, which are traditionally not used for texture classification. We compare these with more traditional texture classification approaches, such as Local Binary Patterns (LBP), Local Ternary Patterns (LTP) and a newer extension Local Adaptive Ternary Patterns (LATP). The image is divided into a grid and local features are calculated on the cells of this grid. These features are then used to train a classifier that can differentiate between different terrains. 132 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a comparison of multiple approaches to visual terrain classification for outdoor mobile robots based on local features. For this purpose, we put a camera on a mobile robot and use it to capture images which are then analyzed to recognize the terrains present in these images. There are two sets of approaches that we use to classify terrains. The first is based on greyscale images and the second one is based on color images. For greyscale images, we use two different robot platforms for two different scenarios. The first robot platform is a wheeled outdoor robot. The second platform is a flying robot. For terrain classification, we modify and test three approaches called SURF, Daisy and Contrast Context Histogram, which are traditionally not used for texture classification. We compare these with more traditional texture classification approaches, such as Local Binary Patterns (LBP), Local Ternary Patterns (LTP) and a newer extension Local Adaptive Ternary Patterns (LATP). The image is divided into a grid and local features are calculated on the cells of this grid. These features are then used to train a classifier that can differentiate between different terrains.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Yasir NiazYasir Niaz Khan is a researcher and teacher in Robotics and Artificial Intelligence in Lahore Pakistan. He completed his PhD from University of Tuebingen Germany and previous degrees from FAST-NU Lahore Pakistan. He mo.
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659901466ISBN 13: 9783659901461
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. Print on Demand.