Computer vision (Record no. 558442)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02589 a2200205 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780128092842 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIT Kanpur |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Item number | D286c5 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Davies, A. R. |
| 245 ## - TITLE STATEMENT | |
| Title | Computer vision |
| Remainder of title | principles, algorithms, applications, learning |
| Statement of responsibility, etc | E. R. Davies |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 5th ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Elsevier |
| Year of publication | 2018 |
| Place of publication | Cambridge |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xlii, 858p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.<br/><br/>See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/<br/><br/><br/> Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition.<br/> A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application.<br/> In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics.<br/> Examples and applications―including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians―give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation.<br/> Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.<br/> The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject.<br/> Tailored programming examples―code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Information visualization |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer algorithms |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 18/01/2018 | 2 | 5278.00 | 006.37 D286c5 | A183456 | 7036.70 | Books |