搜索资源列表
vtkICPCxx
- Iterative Closest Point algorithm. brings two 3D models together in best fit configuration.-ICP algorithm
Efficient_Variants_of_the_ICP_Algorithm
- 斯坦福的一片文章 综述了迭代最近点算法的各种改进 客观地比较了他们优劣 提出了一个实时的高效组合 做点云配准必读-an artical from Stanforda. summarizes the variant of iterative closest point algorithm and objectively compare the advantages and disadvantages, finily proposed combination with a high-speed r
OPTICS-algorithm---Wikipedia--the-free-encycloped
- OPTICS ("Ordering Points To Identify the Clustering Structure") is an algorithm for finding density-based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel and Jö rg Sander[1]. Its basic idea is
ICP-point-cloud-registration
- ICP算法在点云配准中的应用，经典的迭代最近点算法-ICP algorithm for point cloud registration application, the classic iterative closest point algorithm
State-machine-module
- 描述一种新型的状态机模块(uHsm)实现方法，更好地实现了状态机，并且从综合折中考察， 具有相当的比较优势。主要的优势是逻辑严密、性能高效、对状态图的运作最接近状态图理 论的理想概念，因而需要特别处理(因此也就特别容易产生偏差)的逻辑点少，特别适合运行 稳定性高、资源不丰富的嵌入式环境。-Describes a new state machine module (uHsm) method, the state machine to achieve a better and compr
Establish-magnetic-form
- 建立磁性窗体,实现窗体的粘贴: 实现粘贴的难点在于什么时候进行这个操作，假设有两个窗体Form1和Form2，移动Form2向Form1靠近，当Form2与Form1的最近距离小于distance时粘贴在一起。显然，应该在移动Form2的过程中进行判断，问题是在程序的什么位置插入判断代码 -Establish a magnetic form, to achieve a form of paste: Paste realize the difficulty that when this
2
- On Maximum-Likelihood Detection and the Search for the Closest Lattice Point
ASM-2.2.1
- 对模型特征点周围的纹理信息进行采样，对比图像和模型训练集的纹理，找到纹理最接近的点即认为是特征点。作者这里比较纹理的工具是马氏距离。为了提高搜索的效率，作者还提到了多分辨率搜索周围像素纹理，对于粗糙的尺度，搜索范围大，对于细致的尺度，进行细致的搜索，提高了匹配的效率。-The texture information model feature points around the sampling, texture contrast image and model train sets, find
new-1
- ICP iterative closest point (3 dimensional point cloud)
ICP(Iterative Closest Point)
- ICP(Iterative Closest Point)