SIFT features are distinctive local image features.
SIFT特征向量是一种图像局部特征向量。
SLAM is completed by fusing the information of SIFT features and robot information with EKF.
应用扩展卡尔曼滤波器融合SIFT特征信息与机器人位姿信息完成SLAM。
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。
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。
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 technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
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。
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。
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