# Usage Instructions # ~~~~~~~~~~~~~~~~~~ # Usage: [n]awk -f ass.awk fname.trc (But read the Portability Section !!) # # Configuring Ass: # # By default, 'ass' attempts to dump as much information as possible and # assumes that the output is to be p
Abstract. This paper evaluates 2D feature detection methods with respect to invariance and efficiency properties. The studied feature detection methods are as follows: Speeded Up Robust Features, Scale Invariant Feature Transform, Binary Robust Inva
SURF算法的经典原文，SURF (Speeded Up Robust Features)也是一种类似于SIFT的兴趣点检测及描述子算法。其通过Hessian矩阵的行列式来确定兴趣点位置，再根据兴趣点邻域点的Haar小波响应来确定描述子，其描述子大小只有64维（也可以扩展到128维，效果更好），是一种非常优秀的兴趣点检测算法。我的博客里面有SURF的算法详解，欢迎相互交流>_<
SURF (Speeded Up Robust Feature)是一种高鲁棒性的局部特征点检测器。由Herbert Bay 等人在2006年提出。该算法可以用于计算机视觉领域例如物体识别或者三维重建。根据作者描述该算法比SIFT更快更加具有鲁棒性。该算法中采用积分图像、Haar小波变换和近似的Hessian矩阵运算来提高时间效率,采用Haar小波变换增加鲁棒性。
Abstract— Panoramic image mosaic is a technology to match a series of images which are overlapped with each other. Panoramic image mosaics can be used for different applications. Image mosaic has important values in various applications such as phot
