: ‘ Kernel-based Laplacian smoothing method for 3D mesh denoising ’. ICISP'12 , Berlin, Heidelberg , Springer-Verlag , 2012 pp. 77 – 84 .Hicham Badri, Mohammed El Hassouni, Driss Aboutajdine. Kernel-Based Laplacian Smoothing Method for 3D Mesh Denoising.5th International Conference, ICISP ...
接下来,用代码实现 x 方向的图像梯度,先建立一个模板 dx,对应代码中的 kernel 数组,其数值是展示在图 5,再实现模板与图像像素值的相乘的过程,对应代码中的 filter2D 函数,代码实现如下,最后图 6 展示图像梯度的效果,找到了上图 1 中像素值剧烈变化的区域。 图片 图5:模板 图片 图6:梯度效果 图片 通过比较...
kernel implementation, and hardware characteristics of the device. We will discuss this topic in more detail in a future post. Although this kernel implementation supports a 3D block size, the GPU has no concept of 2D and 3D. The possibility of defining 3D groups is provided as a convenience...
(x, y, z)) X += noise * np.random.randn(3, n_samples) X = X.T t = np.squeeze(t) return X, t def rbf(dist, t = 1.0): ''' rbf kernel function ''' return np.exp(-(dist/t)) def cal_pairwise_dist(x): '''计算pairwise 距离, x是matrix (a-b)^2 = a^2 + b^2...
至于欧式空间的特征转变成graph,那个常规操作就是各种kernel嘛。当然后来有其他更好的方法,比如sparse representation,self-representation之类的(本文不讨论这玩意虽然这玩意极度有趣)。我们来看看一旦我们有了一个adjacent matrix (or similarity matrix)之后,laplacian eigenmaps长啥样: Laplacian Eigenmaps 可以看到的是...
展开 关键词: Kernel Skin Informatics Convolution Shape Laplace equations Clustering algorithms DOI: 10.1109/JBHI.2016.2544245 被引量: 4 年份: 2017 收藏 引用 批量引用 报错 分享 求助全文 通过文献互助平台发起求助,成功后即可免费获取论文全文。 请先登入相似文献 参考文献 引证文献Improved...
1) Data loss:通常,深度数据密集地从近距离收集,而由于3D传感器的限制,从远处采集的数据非常稀疏。为了缓解不平衡问题,我们采用[17]中引入的损失函数的平方根作为数据损失Ld,w h i c h计算预测深度值与对数空间中地面真值之间的差,如下所示: 2) 梯度损失:为了增强局部细节,特别是在深度边界处,我们利用深度图的...
Heat Kernel: Wij=⎧⎪⎨⎪⎩exp(−∥∥xi−xj∥∥22t),ifxiandxjareconnected0,otherwiseWij={exp(−‖xi−xj‖22t),ifxiandxjareconnected0,otherwise simple-minded: (t→inft→inf) Wij={1,ifxiandxjareconnected0,otherwiseWij={1,ifxiandxjareconnected0,otherwise ...
A Gaussian kernelhis used to smooth out the spikes in the log spectrum AsFId=LSId*h (6) The saliency map of the downsampled imageIdcan then be computed as SId=F-1expAsFId+iPFId2*h (7) where the smoothed log spectrum in Eq. (6) and the original phase spectrum are combined to co...
For these non-Friedrichs self-adjoint extensions, the kernel of the resolvent is calculated explicitly. Finally we use this knowledge to study a wave equation involving these non-Friedrichs extensions, and explicitly determine the wave kernel. 展开 ...