The SIFT algorithm is proposed in this study is a feature extraction algorithm based on local invariant.
本文研究的SIFT算法正是一种基于局部不变量的特征提取算法。
Reasonably setting the threshold value, SIFT algorithm can handle the technical problems such as cutting the object from its background.
合理设置SIFT算法的阈值还可以有效处理物体背景分割等技术问题。
A fast and accurate image stitching algorithm based on SIFT feature matching is proposed.
基于SIFT特征匹配思想，提出一种快速、准确的图像拼接算法。
Moreover, the precision of object recognition can be improved effectively by the combination of SIFT features and normalized DLT algorithm.
结合SIFT特征和正交DLT算法，给出一种较为精确的物体识别方法。
It often needs one to sift through mountains of data which a typical mining tool has missed because of the assumptions made in writing the mining algorithm.
它往往需要一个筛选数据的群山一个典型的挖掘工具，已经错过了，因为在写挖掘算法作出的假设。
A simplified algorithm based on SIFT (SSIFT) is developed to express a feature point with only 12 dimensions based on a circular window to improve the efficiency of matching.
为了提高匹配速度，介绍了一种基于SIFT的简化算法(SSIFT)，采用基于圆形窗口的12维向量有效地表示一个特征点。
Abstract : The Scale-invariant Feature Transform(SIFT) algorithm was improved in this paper, which could match two pictures and could also compute the object rotation angles in the pictures.
摘要 ：改进了传统的尺度不变特征变换（SIFT）算法，使其在进行图像匹配的同时，可以求取出物体的旋转角度。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
An effective against geometric attack robustness of digital watermarking algorithm based on improved SIFT (Scale Invariant Feature Transform) is presented.
通过改进的SIFT(尺度不变特征变换)算法提出了一种可有效抵抗几何攻击的鲁棒数字水印算法。
A feature extraction algorithm of SIFT feature combined with global characteristics is proposed in this paper which can solve the problem of inefficacy feature description in objective feature.
针对图像检索中现有特征描述算法对图像中目标物体特征描述不够有效的特点，提出了一种基于融合全局特性的SIFT特征图像检索算法。
The experimental results show that this algorithm is as robust as SIFT, but also acquires good performance on affine invariance of view point change, improves matching results greatly.
实验表明，改进后的算法继承了SIFT算法对图像缩放、旋转等不变性，而且增强了图像对视角的仿射不变性，极大地改善了匹配效果。
Compared with the original SIFT, the simulation results show that the proposed algorithm can detect more key points, and improves the accuracy of image matching.
实验表明，在SIFT中引入分数阶微积分的应用，能够得到更多的特征关键点，提高图像匹配的正确性。
Compared with the original SIFT, the simulation results show that the proposed algorithm can detect more key points, and improves the accuracy of image matching.
实验表明，在SIFT中引入分数阶微积分的应用，能够得到更多的特征关键点，提高图像匹配的正确性。
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