请选择 进入手机版 | 继续访问电脑版
楼主: 飞天玄舞6
686 2

[数据挖掘理论与案例] Dense Image Correspondences for Computer Vision [推广有奖]

  • 3关注
  • 31粉丝

VIP1

学科带头人

12%

(VIP/贵宾)九级

71%

TA的文库  其他...

综合文库

威望
0
论坛币
154032 个
通用积分
4221.3365
学术水平
128 点
热心指数
148 点
信用等级
102 点
经验
76624 点
帖子
1503
精华
0
在线时间
1509 小时
注册时间
2013-12-2
最后登录
2021-10-20

相似文件 换一批

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
Dense Image Correspondences for Computer Vision
QQ截图20170117122803.png

This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.

二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Computer respond compute Comput VISION techniques different describes developed computer

Dense Image Correspondences for Computer Vision.pdf

18.89 MB

需要: 3 个论坛币  [购买]

已有 1 人评分经验 收起 理由
xujingtang + 60 奖励积极上传好的资料

总评分: 经验 + 60   查看全部评分

本帖被以下文库推荐

strive for the best, prepare for the worst.
xujingtang 发表于 2017-1-17 20:38:08 |显示全部楼层 |坛友微信交流群

使用道具

sofree 发表于 2017-1-17 21:35:20 |显示全部楼层 |坛友微信交流群
感谢楼主。

使用道具

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注cda
拉您进交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-3-28 22:48