Shape transformer nets: Generating viewpoint-invariant 3D shapes from a single image

Single-view 3D shapes generation has achieved great success in recent years. However, current methods always blind the learning of shapes and viewpoints. The generated shape only fit the observed viewpoints and would not be optimal from unknown viewpoints. In this paper, we propose a novel encoder–decoder based network which contains a disentangled transformer to generate the viewpoint-invariant 3D shapes. The differentiable and parametric Non-uniform B-spline (NURBS) surface generation and 3D-to-3D viewpoint transformation are incorporated to learn the viewpoint-invariant shape and the camera viewpoint, respectively. Our new framework allows us to learn the latent geometric parameters of shapes and viewpoints without knowing the ground truth viewpoint. That can simultaneously generate camera-viewpoint and viewpoint-invariant 3D shapes of the object. We analyze the effects of disentanglement and show both quantitative and qualitative results of shapes generated at various unknown viewpoints.     

Elitist clonal selection algorithm for optimal choice of free knots in B-spline data fitting

Data fitting with B-splines is a challenging problem in reverse engineering for CAD/CAM, virtual reality, data visualization, and many other fields. It is well-known that the fitting improves greatly if knots are considered as free variables. This leads, however, to a very difficult multimodal and multivariate continuous nonlinear optimization problem, the so-called knot adjustment problem. In this context, the present paper introduces an adapted elitist clonal selection algorithm for automatic knot adjustment of B-spline curves. Given a set of noisy data points, our method determines the number and location of knots automatically in order to obtain an extremely accurate fitting of data. In addition, our method minimizes the number of parameters required for this task. Our approach performs very well and in a fully automatic way even for the cases of underlying functions requiring identical multiple knots, such as functions with discontinuities and cusps. To evaluate its performance, it has been applied to three challenging test functions, and results have been compared with those from other alternative methods based on AIS and genetic algorithms. Our experimental results show that our proposal outperforms previous approaches in terms of accuracy and flexibility. Some other issues such as the parameter tuning, the complexity of the algorithm, and the CPU runtime are also discussed.     

基于小波变换的图像边缘检测方法

基于小波变换的图像边缘检测,其图像平滑度与尺度增大成正比:尺度增大,高频受到强抑制,输出图像的信噪比提高,图像边缘平滑变粗,定位精度降低;反之边缘定位精度可提升.小波基函数的选取应保证检测精度,故用大尺度滤波器抑制原图像噪声.同时用小尺度滤波器为图像边缘精确定位,即依据边缘检测的小波母函数一般准则,构造二次B样条小波,并采用自适应阈值图像边缘检测法检测图像边缘.     

基于双三次B样条插值的空间结构自由曲面

双三次B样条插值曲面方法是工业造型、机械制造领域应用成熟的一种自由曲面设计方法，本在分析空间结构曲面设计现状、需求以及不足的基础上，提出了应用C^2连续的双三次B样条插值曲面方法进行空间结构自由曲面设计算法，并通过实例论证了该算法的可行性和有效性。     

Offshore wind turbine blades measurement using Coherent Laser Radar

To maximize aerodynamic efficiency, large-scale offshore wind turbine blades require inspection during the production stage to ensure strict tolerance requirements are met. During production, the blade is fixed at the root, restricting movement in the Z direction. X, Y, Rx, Ry and Rz remain unconstrained causing blade flex due to gravity. This deforms the blade away from the theoretical CAD blade location, causing measurement results that do not accurately represent the blade profile. Measurement error can be minimized using rigorous B-spline data alignment. Such alignment compensates for blade flex by varying the constrained Degrees of Freedom (DoF), and provides manufacturers with confidence in the design process. This paper used Coherent Laser Radar and Spatial Analyzer to establish the optimal constrained DoF variation, giving the most accurate data alignment solution. Of the constraints investigated, the optimal data transformation solution was found with a double B-spline alignment method, whilst constraining movement in Y, Z and Ry.     

B-spline method for solving Bratu's problem

In this paper, we propose a B-spline method for solving the one-dimensional Bratu's problem. The numerical approximations to the exact solution are computed and then compared with other existing methods. The effectiveness and accuracy of the B-spline method is verified for different values of the parameter, below its critical value, where two solutions occur.     

四参数宽带B样条子波

本文基于地震尖脉冲的小波分解及其重构原理,提出一种基于部分尺度下信号重构理论的宽带子波构成方法,利用此方法可以形成一系列各具特色的地震子波。基于复B样条小波,具体讨论四参数宽带B样条地震子波的构成,推导出四参数宽带B样条子波的时间域和频率域的解析表达式。四参数宽带B样条地震子波不仅具有可直接调节旁瓣衰减的参数,而且还可以直接调节相位的个数,与相同主瓣等效频率的雷克子波和俞氏子波相比,四参数宽带B样条子波旁瓣小,非零时间点的延续时间短。楔形模型制作的合成地震记录表明,四参数宽带B样条子波的分辨率更高且参数选择更为灵活,可为地震资料处理提供一个更方便、更灵活的地震理论子波。     

Damage identification in composite plates using two-dimensional B-spline wavelets

In this paper the construction of general order two-dimensional B-spline wavelets was presented and applied for damage identification in polymeric composite plates. At the very beginning the algorithm of one- and two-dimensional discrete wavelet transform and formulation of one- and two-dimensional B-spline wavelets with examples were presented. The fully clamped square layered composite plate was modeled using finite element-based software. Estimated natural modes of vibration with various damage configurations were analyzed using the two-dimensional sixth-order B-spline wavelet, and the method of damage identification was presented. The effective damage identification is based on the evaluation of the singularities in horizontal, vertical and diagonal details coefficients. Results obtained based on the numerical data were verified experimentally. Research results show the effectiveness of B-spline wavelets in application to the diagnostics and structural health monitoring.     

基于二维小波变换的爆堆矿岩边缘检测

根据爆堆图像灰度分布的特点,并结合小波变换应用于边缘检测的基本原理,采用能够检测局部突变能力的B样条小波用于爆堆岩石的边缘检测。通过推导,给出B样条小波滤波器,并根据滤波器设计出了基于二维小波边缘检测算法。在小波边缘分割中自主设计了自适应阈值检测算法,该算法能很好地去除图像的噪声,并保留了图像的边缘。     

基于增材制造的液压阀块流道过渡区优化研究

器件小型化和集成化发展趋势,对液压阀块设计提出了更高的要求。传统工艺加工阀块体内部流道,不但工艺复杂难加工,而且成形的流道流动特性有待提高。新型制造工艺增材制造一体化成形的特点使其在流道加工方面表现出很大的优越性。基于增材制造,对某一液压集成阀块的流道过渡区进行优化设计,利用Fluent仿真,对直线过渡、圆弧过渡、B样条曲线3种过渡方式连接的流道流动特性进行分析,B样条曲线过渡流道较直线过渡流道压力损失可降低55%以上,不同圆角半径的圆弧过渡流道较直线过渡流道压力损失可降低28%～56%,为基于增材制造的流道设计提供了必要的支持。