SIFT feature was used to describe object in multi-target tracking.
在多目标跟踪中采用SIFT特点描述。
The application of SIFT feature matching method in the aotomatic relative orientation;
由于使用了优化过程，该方法对相对定向参数的初值依赖性较小。
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。
As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points.
由于SIFT特征对旋转和缩放具有不变性，该算法利用SIFT提取图像的特征点。
Using filter template the noise can be removed efficiently, after filtering, the SIFT feature is extracted.
去噪采用滤波模版简单有效，去噪后提取SIFT特征。
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。
While researching a feature for TIME.com recently, I had the chance to sift through TIME's decades of environment coverage.
因为最近在调研TIME.com栏目，我得以有机会全面接触TIME近十年来的环境新闻报道。
The image watermark scheme based on Scale Invariant feature Transform (SIFT) feature is proposed for resisting geometric attacks.
提出一种利用尺度不变特征变换(SIFT)特征点实现对抗几何攻击的水印方案。
This paper presents a novel object tracking method based on SIFT(scale invariant feature transform) feature matching.
提出一种基于尺度不变特征变换（SIFT）特征匹配的目标跟踪方法。
First, uses SIFT method to get the special point and its feature. Then, matches the features with the criterion of nearest neighbor based on confidence.
算法首先采用SIFT提取图象的特征点及其描述，然后采用基于置信度的匹配算法进行特征点的匹配。
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。
To restore the lost synchronism, a novel method to estimate the geometric operation using sifted Scale-Invariant Feature Transform (sift) was proposed.
为了恢复已失去的同步信息，提出一种基于筛选尺度不变特征估计几何攻击参数的数字水印算法。
SIFT has proved to be the most robust local invariant feature descriptor in object recognition and matching.
目前，SIFT已经被证明鲁棒性最好的局部不变特征描述符。
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。
The image watermarking scheme based on scale invariant feature transform(SIFT) is proposed for resisting rotation scale translation(RST) attacks.
提出一种利用SIFT关键点实现对RST攻击校正的半盲水印方案。
The variety of ear angle and occlusion are the difficulties of ear recognition. The Scale Invariant Feature Transform(SIFT) is invariant to image scaling, translation and rotation.
人耳的角度变化和遮挡是人耳识别中的难点问题，SIFT局部描述算子具有对图像尺度缩放、平移、旋转等的不变性，因此提出利用SIFT特征的人耳识别算法。
And Scale Invariant Feature Transform (SIFT) was employed to exclude those sub-regions with smaller matching key points.
然后利用尺度不变特征变换(SIFT)剔除那些匹配的关键点数目少的子区域。
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。
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。
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。
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