ISBN: 9780198565123 - object recognition through invariant indexing (21 risultati)

Hardcover. Condizione: As New. No Jacket. Book size about 6 1/2 by 9 1/2 inches with some 261 pages. Bound in illustrated slick glossy red paper covered boards with white lettering. Illustrated with photos and drawings. No sign of wear. A tight clean and unmarked book. AS NEW Language: eng Language: eng 0.0 Language: eng Language: eng Language: eng. …

Cloth/Laminated Boards. Condizione: Good. Condizione sovraccoperta: No d/j as Published. Type: Book N.B. Damage stamp to title page. Top right corner of front board is bumped. Small plain label to inside front cover. Base of spine a little bumped.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items and in the navigation of mobile robots. This work addresses this area of robotics research. Num Pages: 272 pages, halftones, line drawings, tables. BIC Classification: TGPQ; TJFM1; UYQP; UYQV; UYS; UYT. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 18. Weight in Grams: 584. . 1995. Hardback. . . . .…

Condizione: New. In English.

Condizione: New. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items and in the navigation of mobile robots. This work addresses this area of robotics research. Num Pages: 272 pages, halftones, line drawings, tables. BIC Classification: TGPQ; TJFM1; UYQP; UYQV; UYS; UYT. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 18. Weight in Grams: 584. . 1995. Hardback. . . . . Books ship from the US and Ireland.…

Condizione: new. Questo è un articolo print on demand.

Hardcover. Condizione: new. Hardcover. Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots.In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of theidentities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. Thebenefit of using projective measures is that they are unchanged by the imaging process. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items and in the navigation of mobile robots. This work addresses this area of robotics research. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots.In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of theidentities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. Thebenefit of using projective measures is that they are unchanged by the imaging process. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items and in the navigation of mobile robots. This work addresses this area of robotics research. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots.In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of theidentities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. Thebenefit of using projective measures is that they are unchanged by the imaging process. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items and in the navigation of mobile robots. This work addresses this area of robotics research. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Print on Demand pp. 272.

Buch. Condizione: Neu. Object Recognition Through Invariant Indexing | Charles A. Rothwell | Buch | Gebunden | Englisch | 1997 | OUP Oxford | EAN 9780198565123 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condizione: New. Print on Demand pp. 272 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots. In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of the identities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. The benefit of using projective measures is that they are unchanged by the imaging process.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. PRINT ON DEMAND pp. 272.