"synopsis" may belong to another edition of this title.
Shipping:
US$ 3.99
Within U.S.A.
Book Description Condition: New. Seller Inventory # ABLING22Oct2817100451838
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783639218893_lsuk
Book Description PF. Condition: New. Seller Inventory # 6666-IUK-9783639218893
Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computers have evolved a long way from huge vacuum tube-based machines to today s small but immensely powerful devices. They have long been investigated as the foundation for an artificial vision system. The computer vision discipline has seen a rapid development over the years from basic motion detection systems to advanced model-based algorithms. Our work is one such improvement over past algorithms. It is based on the principle of multi-dimensional object signatures. Object signatures are constructed from individual attributes extracted via video processing. The lack of a comprehensive object model limits the application of current algorithms to controlled situations. In real-world conditions, such algorithms perform less efficiently due to inherent assumptions of constancy of attributes. Our approach assumes an environment where the object attributes may vary. The variations in accuracy is handled by using weights for each attribute based on local conditions at a sensor location. The results of our tests establish the validity of our approach as higher match accuracy was obtained with our multi- dimensional approach than with single-attribute based logic. 128 pp. Englisch. Seller Inventory # 9783639218893
Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computers have evolved a long way from huge vacuum tube-based machines to today s small but immensely powerful devices. They have long been investigated as the foundation for an artificial vision system. The computer vision discipline has seen a rapid development over the years from basic motion detection systems to advanced model-based algorithms. Our work is one such improvement over past algorithms. It is based on the principle of multi-dimensional object signatures. Object signatures are constructed from individual attributes extracted via video processing. The lack of a comprehensive object model limits the application of current algorithms to controlled situations. In real-world conditions, such algorithms perform less efficiently due to inherent assumptions of constancy of attributes. Our approach assumes an environment where the object attributes may vary. The variations in accuracy is handled by using weights for each attribute based on local conditions at a sensor location. The results of our tests establish the validity of our approach as higher match accuracy was obtained with our multi- dimensional approach than with single-attribute based logic. Seller Inventory # 9783639218893
Book Description PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783639218893
Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivasan SabeshanSabeshan Srinivasan is an alumnus of the University of Maine, having obtained his Master of Science in Spatial Information Science and Engineering in 2005. He is currently employed as a software engineer at ESRI. Seller Inventory # 4968213
Book Description PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783639218893