搜索资源列表
surf tracking
- Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by
SURF
- 尺度不变局部特征提取，对于局部细节特征有很好的描述，具有旋转尺度不变性-Scale-invariant local feature extraction, feature for the local details are well described, with a rotating scale invariance
SURF
- SURF feature matching
SURF
- surf 特征提取 点特征 尺度不变性 黑森林矩阵-surf feature extraction
improved-surf
- 改进SURF算法，FAST角点检测算法代替原始SURF特征点检测，很大程度上提高了特征点检测速度。-Improved SURF algorithm, FAST corner detection algorithm instead of the original SURF feature detection, feature detection greatly improves the speed.
surf
- SURF意指 加速的具有鲁棒性的特征，由Bay在2006年首次提出，这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来，一般来说，标准的SURF算子比SIFT算子快好几倍，并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念，这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,