| 000 | 00917namuu2200289 a 4500 | |
| 001 | 000045485353 | |
| 005 | 20081113150054 | |
| 008 | 081113s2008 caua b 001 0 eng d | |
| 015 | ▼a GBA848040 ▼2 bnb | |
| 020 | ▼a 9780596516130 (pbk.) | |
| 020 | ▼a 0596516134 (pbk.) | |
| 040 | ▼a StDuBDS ▼b eng ▼c StDuBDS ▼d 211009 | |
| 050 | 1 4 | ▼a TA1634 ▼b .B73 2008 |
| 082 | 0 4 | ▼a 006.37 ▼2 22 |
| 090 | ▼a 006.37 ▼b B812L | |
| 100 | 1 | ▼a Bradski, Gary R. |
| 245 | 1 0 | ▼a Learning OpenCV / ▼c by Gary Bradski and Adrian Kaehler. |
| 246 | 1 4 | ▼a Learning OpenCV : computer vision with the OpenCV library |
| 250 | ▼a 1st ed. | |
| 260 | ▼a Sebastopol, CA : ▼b O'Reilly , ▼c 2008. | |
| 300 | ▼a xvii, 555 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 630 | 0 0 | ▼a OpenCV. |
| 650 | 0 | ▼a Computer vision. |
| 700 | 1 | ▼a Kaehler, Adrian. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.37 B812L | 등록번호 121179314 (31회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."
-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:
- A thorough introduction to OpenCV
- Getting input from cameras
- Transforming images
- Segmenting images and shape matching
- Pattern recognition, including face detection
- Tracking and motion in 2 and 3 dimensions
- 3D reconstruction from stereo vision
- Machine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
정보제공 :
저자소개
에이드리안 캘러(지은이)
어플라이드 마인드(Applied Minds)의 선임 연구원이다. 현재 기계 학습, 통계적 모델링, 컴퓨터 비전, 로봇에 관한 연구를 진행하고 있다. 에이드리안은 1998년 콜롬비아 대학교(Columbia University) 이론 물리학 분야 박사 학위를 받았다. 이후 인텔(Intel)과 스탠퍼드 대학교 AI 연구소에 소속되어 있으며, DARPA 그랜드 챌린지 대회에서 우승한 스탠리 팀에서도 활동하였다. 그는 물리학, 전자 공학, 컴퓨터 과학, 로봇 분야에서 다수의 논문과 특허를 발표하였다.
Gary Bradski(지은이)