决策树与随机森林参考程序

GPS和INS组合导航(源码+文档)

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

【实例简介】异步电机直接转矩控制算法仿真

Buck变换器MPC控制

MATLAB实现ARQ重传，实现时延的加入及重传次数的自定义改动，注释详尽，对初学者有一定的帮助

【实例简介】惯导四元数微分方程的四阶龙格库塔法求解matlab代码

【实例简介】经典Hilditch二值化算法

【实例简介】Fundamentals_of_Kalman_Filtering_A_Practical_Approach_Third_Edition

【实例简介】matlab数值方法

【实例简介】