登录/注册
下载豆瓣客户端
豆瓣
6.0
全新发布
×
豆瓣
扫码直接下载
iPhone
·
Android
豆瓣
读书
电影
音乐
同城
小组
阅读
FM
时间
豆品
豆瓣读书
搜索:
购书单
电子图书
2023年度榜单
2023年度报告
《学习OpenCV(中文版)》的原文摘录
按热度排序
按页码排序
Computer vision has a rich future ahead, and it seems likely to be one of the key enabling technologies for the 21st century. Likewise, OpenCV seems likely to be (at least in part) one of the key enabling technologies for computer vision. Endless opportunities for creativity and profound contribution lie ahead. We hope that this book encourages, excites, and enables all who are interested in joining the vibrant computer vision community. (
查看原文
)
Windsper
2012-02-29 17:18:30
—— 引自第526页
OpenCV倾向于支持鉴别式算法,而不倾向于产生式算法。虽然这两者的区别不是非常清晰,但是鉴别式模型在根据给定的数据做出预测上有优势,而产生式模型则是在为你提供更强大的数据表达或者有条件地生成新数据时有优势。 (
查看原文
)
小乐shong
2013-07-12 11:28:21
—— 引自第502页
These sequences are sequences of points; more precisely, they are contours—the actual topic of this chapter. The key thing to remember about contours is that they are just a special case of sequences. (
查看原文
)
永远自由的心
2013-08-05 10:02:46
—— 引自第238页
writing efficient code is often very difficult to do in a modular way (
查看原文
)
tqtifnypmb
2016-11-22 13:56:00
—— 引自章节:filters and convolution
>
我来写笔记
>
学习OpenCV(中文版)
作者:
Gary Bradski, Adrian Kaehler
副标题:
学习OpenCV
isbn:
7302209936
书名:
学习OpenCV(中文版)
页数:
601
译者:
于仕琪
,
刘瑞祯
定价:
75.00元
出版社:
清华大学出版社
装帧:
平装
出版年:
2009-10-1