Foundations of computer vision (Record no. 567567)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02191 a2200217 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262048972 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | T634f |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Torralba, Antonio |
| 245 ## - TITLE STATEMENT | |
| Title | Foundations of computer vision |
| Statement of responsibility, etc | Antonio Torralba, Phillip Isola and William T. Freeman |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | MIT Press |
| Year of publication | 2024 |
| Place of publication | Cambridge |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxviii, 810p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Adaptive computation and machine learning series |
| 490 ## - SERIES STATEMENT | |
| Series statement | / edited by Francis Bach |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.<br/><br/>Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision.<br/><br/>• Up-to-date treatment integrates classic computer vision and deep learning<br/>• Accessible approach emphasizes fundamentals and assumes little background knowledge<br/>• Student-friendly presentation features extensive examples and images<br/>• Proven in the classroom<br/>• Instructor resources include slides, solutions, and source code<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer vision |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Image processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Isola, Phillip |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Freeman, William T. |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| On Display | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 18/07/2025 | 2 | 5794.88 | 006.3 T634f | A186909 | 7726.50 | Books |