Location:
Search - matlab zoom g
Search list
Description: 坐标转换:已知n个点在a,b两坐标系中的坐标值,采用优化方法求转换关系(标准的7参数转换关系,x,y,z的移动,x,y,z的旋转,以及缩放系数)ps:附带空间旋转公式。input: points in A and B。 output:transfer relationship (u,v,w: shit of x,y,z。 a,b,g: rotate of x,y,z 。k:zoom)-Coordinate Transfer:A,B are tow coordinates. This program using optimal method to find the transfer relationship of A and B. input: points in A and B。 output:transfer relationship (u,v,w: shit of x,y,z。 a,b,g: rotate of x,y,z 。k:zoom)
Platform: |
Size: 2048 |
Author: 胡瑞飞 |
Hits:
Description: 利用matlab gui制作的图片放大的软件-Produced using matlab gui image zoom software. .
Platform: |
Size: 6144 |
Author: 王小贝 |
Hits:
Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出,2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式,对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法,在尺度空间寻找极值点,提取位置,尺度,旋转不变量。
3 SIFT算法的主要特点:
a) SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好,信息量丰富,适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性,即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性,经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性,可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤:
1) 检测尺度空间极值点
2) 精确定位极值点
3) 为每个关键点指定方向参数
4) 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe
Platform: |
Size: 2831360 |
Author: 李青彦 |
Hits: