Computer Vision Metrics: Survey, Taxonomy, and Analysis(BY dhl)
Scott Krig
- 出版商: Apress
- 出版日期: 2014-05-30
- 售價: $1,700
- 貴賓價: 9.5 折 $1,615
- 語言: 英文
- 頁數: 508
- 裝訂: Paperback
- ISBN: 1430259299
- ISBN-13: 9781430259299
-
相關分類:
Computer Vision 電腦視覺
-
相關翻譯:
計算機視覺度量深入解析 (Computer Vision Metrics Survey, Taxonomy, and Analysis) (簡中版)
下單後立即進貨 (約1週~2週)
買這商品的人也買了...
-
$380$342 -
$1,500$1,425 -
$3,080$2,926 -
$383學習 OpenCV (中文版) (Learning OpenCV: Computer Vision with the OpenCV Library)
-
$1,200$1,140 -
$520$468 -
$520$510 -
$620$527 -
$1,190$1,131 -
$354$336 -
$454OpenCV 圖像處理編程實例
-
$352Python 計算機視覺編程 (Programming Computer Vision with Python)
-
$580$458 -
$480$379 -
$454OpenCV 編程案例詳解
-
$301OpenCV 實例精解
-
$480$408 -
$590$502 -
$176數學之美, 2/e
-
$680$578 -
$500$395 -
$360$281 -
$480$408 -
$580$458 -
$699$552
商品描述
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.