Computer vision : (Record no. 100962)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01983cam a2200205 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 17224176 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20171226091245.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120323s2012 nyua b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781107011793 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Edition number | 23 |
| Item number | PRI-C |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Prince, Simon J. D. |
| 245 10 - TITLE STATEMENT | |
| Title | Computer vision : |
| Remainder of title | models, learning, and inference / |
| Statement of responsibility, etc | Simon J.D. Prince |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | New York : |
| Name of publisher, distributor, etc | Cambridge University Press, |
| Date of publication, distribution, etc | 2012 |
| -- | Reprint in 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 580 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 26 cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. [bullet] Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry [bullet] A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking [bullet] More than 70 algorithms are described in sufficient detail to implement [bullet] More than 350 full-color illustrations amplify the text [bullet] The treatment is self-contained, including all of the background mathematics [bullet] Additional resources at www.computervisionmodels.com"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | COMPUTERS / Computer Graphics. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2017-12-26 | 006.37 PRI-C | 116801 | 2017-12-26 | C. 2 | 2017-12-26 | Books | |||
| UMT Main Campus | UMT Main Campus | 2017-12-26 | 006.37 PRI-C | 116800 | 2018-12-14 | 2017-12-26 | Books |