贝叶斯分类器实现汉字识别(程序+样本集)

【实例简介】

异步电机矢量控制仿真

【实例简介】雷达坐标转换

【实例简介】

【实例简介】 一种可适用于滚动轴承故障诊断BP神经训练网络

【实例简介】matlab数值方法

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】中性点经线圈接地单相对地短路仿真

采用fmincon对带非线性约束的目标函数进行寻优，实现参数辨识 最小二乘参数辨识202159 ├── cons.m ├── data.txt ├── fun.m └── main.m 0 directories, 4 files

【实例简介】ADRC.mdl