| 000 | 01378 a2200241 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 020 | _a9783030343712 | ||
| 040 | _cIIT Kanpur | ||
| 041 | _aeng | ||
| 082 |
_a006.37 _bSz25c2 |
||
| 100 | _aSzeliski, Richard | ||
| 245 |
_aComputer vision [2nd ed.] _balgorithms and applications _cRichard Szeliski |
||
| 250 | _a2nd ed. | ||
| 260 |
_bSpringer Nature _c2022 _aSwitzerland |
||
| 300 | _axxii, 925p | ||
| 440 | _aTexts in computer science | ||
| 490 | _a/ edited by David Gries and Orit Hazzan | ||
| 520 | _aComputer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. | ||
| 650 | _aComputer vision | ||
| 650 | _aImage processing | ||
| 650 | _aImage processing -- Mathematics | ||
| 942 | _cBK | ||
| 999 |
_c565838 _d565838 |
||