Object Recognition
Bennamoun, Mohammed; Mamic, George
€ 194.77
FREE Delivery in Ireland
Description for Object Recognition
Paperback. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 364 pages, biography. BIC Classification: UG; UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 563.
Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from ... Read more
Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer London Ltd United Kingdom
Number of pages
364
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
350
Place of Publication
England, United Kingdom
ISBN
9781447137245
SKU
V9781447137245
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Object Recognition