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sift2
- 提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参 考影像中的线特征,利用匹配直线构建虚拟角点 其次,针对传统SIFT算法匹配多源遥感影像特征点存在的 不足,采用线特征约束点特征的方法进行SIFT同名点对的提取 最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。 -A line-based features and SIFT features multi-point sources of remote sensing image
sift5
- :研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简 化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点. -: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature point
android-utiliser-sift
- SIFT (Scale-invariant feature transform) est un algorithme de vision assistée par ordinateur permettant de détecter et décrire des zones d intérêts dans une image. Cet algorithme a été publié par David Lowe en 1999, et le propriétaire du brevet e
registration
- 基于联合相似测度的SAR图像边缘点特征配准方法-Based on a similar measure joint SAR image edge point feature registration method
Efficient-feature-point-detection-in-CT-images-us
- 2013 paper Journal of Scientific & Industrial Research. IN this paper, a multi-scale feature point detection algorithm in CT slices based on discrete curvelet transform is presented-2013 paper Journal of Scientific & Industrial Research. IN this pap
CONTENT-BASED-RETRIEVAL-FROM-IMAGE-DATABASES-CURR
- We review recent advances in image retri . The two fundamental components of a retri system, representation and learning, are analyzed. Each component is decomposed into its constituent building blocks: features, feature representation, and sim
SLAM
- 基于图像特征点的移动机器人立体视觉SLAM研究-Research on Stereo Vision SLAM of Mobile Robot Based on Image Feature Point