文件名称:Implementing-the-Scale-Invariant-Feature-Transfor
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [PDF]
- 上传时间：
- 2012-11-26
- 文件大小：
- 349kb
- 下载次数：
- 0次
- 提 供 者：
- bou3****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.-The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.-The SIFT algorithm[1] takes an image and transforms it into a collection of local feature vectors.
Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or
translation of the image. In the original implementation, these features can be used to find
distinctive objects in differerent images and the transform can be extended to match faces in
images. This report describes our own implementation of the SIFT algorithm and highlights
potential direction for future research.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Implementing the Scale Invariant Feature Transform(SIFT) Method.pdf