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matlab
- (1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 -(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized us
image-forgery-with-siftand-ransac
- the folder gives information about the image forgery detection. detection is made by examining the sift and ransac features of the image. color processing is done as a preprocessing step.
图像仿射变换的源代码，图像拼接代码
- 该代码实现了sift算法的后续过程，通过ransac实现特征点的精确提纯，并得到仿射变换矩阵，实现图像的仿射变换和融合，效果很好
sift-final
- sift and ransac implementation
ransac
- ransac测试例程，简单的ransac入门demo SIFT+RANSAC测试demo,适合初学者-ransac demo sift+ ransac
LOGOSIFT
- GUI for logo detection usinf SIFT RANSAC