Advancing Wound Filling Extraction on 3D Faces:An Auto-Segmentation and Wound Face Regeneration Approach

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications.In this paper,we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional network.Our method leverages the Cir3D-FaIR dataset and addresses the challenge of data imbalance through extensive experimentation with different loss functions.To achieve accurate segmentation,we conducted thorough experiments and selected a high-performing model from the trainedmodels.The selectedmodel demonstrates exceptional segmentation performance for complex 3D facial wounds.Furthermore,based on the segmentation model,we propose an improved approach for extracting 3D facial wound fillers and compare it to the results of the previous study.Our method achieved a remarkable accuracy of 0.9999993% on the test suite,surpassing the performance of the previous method.From this result,we use 3D printing technology to illustrate the shape of the wound filling.The outcomes of this study have significant implications for physicians involved in preoperative planning and intervention design.By automating facial wound segmentation and improving the accuracy ofwound-filling extraction,our approach can assist in carefully assessing and optimizing interventions,leading to enhanced patient outcomes.Additionally,it contributes to advancing facial reconstruction techniques by utilizing machine learning and 3D bioprinting for printing skin tissue implants.Our source code is available at https://github.com/SIMOGroup/WoundFilling3D.

Research on 3D Modeling and Visualization of Coal Pillars for Surface Protection

In order to safely exploit coal resource, protection coal pillars must be prepared in coal mines. Some correlative parameters of protection coal pillar are calculated by Drop face and Drop line methods. Models of protecting surface objects and coal pillars are established by TIN modeling and object-oriented technique. By using ACCESS2000as the database and the VC＋＋ and OpenGL as the language, the calculation of protective coal pillars is realized and the 3D-visulizaiton system for protected objects on ground surface and for coal pillars is developed. The system can obtain the data of characteristic points on the surface interactively from the digitized mine topography map, constructing 3D model automatically. It can also obtain the interrelated parameters of the coal seam and drill hole data from existing geolog!cal surveying database to calculate the location, surface area and the total coal columns. The whole process can be computed quickly and accurately. And the 3D visualization system was applied in a mine, showing that the system solve the problem of complex calculation, not only realized the automatic 3D mapping and visualization of coal pillars for buildings protection, but also greatly improves the working efficiency.

通用3D模型文件格式和算法的研究及其OpenGL实现

在探讨计算机图形学的几何造型理论基础上,提出了一种通用的3D模型文件格式(G3D)。这种采用流形三角形网格的3D模型在数学形式上是合式的,这种3D文件格式是开放的,具有可扩展性和连续的LOD能力,进一步可作交互显示、基于刚体的动画和CPM传输。然后,分析了几种典型的LOD算法,并采用OpenGL的图素构造法和交互式动画编程加以实现。最后,还探讨了CPM压缩格式定义。对自定义的三维电子文档处理、重用三维内容、Web上可视化等应用研究有很好的参考价值。

基于3DS MAX和OpenGL的飞行仿真的实现

讨论了三维建模软件与OpenGL相结合的飞行仿真的实现方法。利用建模软件建立飞机模型,并将其转换为OpenGL的c代码,在VC++开发环境中实现了飞机模型的控制与显示、三维场景的模拟、以及场景与模型的结合。

Measuring 3D face deformations from RGB images of expression rehabilitation exercises

Background The accurate(quantitative)analysis of 3D face deformation is a problem of increasing interest in many applications.In particular,defining a 3D model of the face deformation into a 2D target image to capture local and asymmetric deformations remains a challenge in existing literature.A measure of such local deformations may be a relevant index for monitoring the rehabilitation exercises of patients suffering from Par-kinson’s or Alzheimer’s disease or those recovering from a stroke.Methods In this paper,a complete framework that allows the construction of a 3D morphable shape model(3DMM)of the face is presented for fitting to a target RGB image.The model has the specific characteristic of being based on localized components of deformation.The fitting transformation is performed from 3D to 2D and guided by the correspondence between landmarks detected in the target image and those manually annotated on the average 3DMM.The fitting also has the distinction of being performed in two steps to disentangle face deformations related to the identity of the target subject from those induced by facial actions.Results The method was experimentally validated using the MICC-3D dataset,which includes 11 subjects.Each subject was imaged in one neutral pose and while performing 18 facial actions that deform the face in localized and asymmetric ways.For each acquisition,3DMM was fit to an RGB frame whereby,from the apex facial action and the neutral frame,the extent of the deformation was computed.The results indicate that the proposed approach can accurately capture face deformation,even localized and asymmetric deformations.Conclusion The proposed framework demonstrated that it is possible to measure deformations of a reconstructed 3D face model to monitor facial actions performed in response to a set of targets.Interestingly,these results were obtained using only RGB targets,without the need for 3D scans captured with costly devices.This paves the way for the use of the proposed tool in remote medical rehabilitation monitoring.

Visualization Analysis for 3D Big Data Modeling

This paper describes an automatic system for 3D big data of face modeling using front and side view images taken by an ordinary digital camera, whose directions are orthogonal. The paper consists of four keys in 3D visualization. Firstly we study the 3D big data of face modeling including feature facial extraction from 2D images. The second part is to represent the technical from Computer Vision, Image Processing and my new method for extract information from images and create 3D model. Thirdly, 3D face modeling based on 2D image software is implemented by C# language, EMGU CV library and XNA framework. Finally, we design experiment, test and record results for measure performance of our method.

金佛山混凝土面板堆石坝地震反应3-D分析

基于等效线性模型,采用三维非线性动力有限元法对拟建金佛山混凝土面板堆石坝进行了地震动力反应分析,重点研究了坝体在地震荷载作用下的加速度反应、动应力反应、地震永久变形的规律和分布。计算结果表明:坝顶附近加速度反应较大,应采取相应的抗震工程措施;坝体动应力反应较小;坝体残余变形不大;大坝整体抗震性能较好,满足给定地震下的抗震安全性要求。

基于球面调和函数的3-D人脸识别方法

根据3-D数据的优势,利用图像成像原理和球面调和函数理论,结合3-D投影原理和PCA技术建立了一个3-D人脸模型。该模型用不受光线影响的低维线性子空间的基向量来表示,将结构和纹理两个3-D信息作为整体进行考虑,使得模型只需要通过一组参数简单描述。由于本文构建的3-D模型只与人脸的内在属性有关,与光线无关,因此能够排除光线对人脸识别率的影响,本文在AR人脸数据库上的识别实验证明了本文方法的有效性。

Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training

3D morphable models(3DMMs)are generative models for face shape and appearance.Recent works impose face recognition constraints on 3DMM shape parameters so that the face shapes of the same person remain consistent.However,the shape parameters of traditional 3DMMs satisfy the multivariate Gaussian distribution.In contrast,the identity embeddings meet the hypersphere distribution,and this conflict makes it challenging for face reconstruction models to preserve the faithfulness and the shape consistency simultaneously.In other words,recognition loss and reconstruction loss can not decrease jointly due to their conflict distribution.To address this issue,we propose the Sphere Face Model(SFM),a novel 3DMM for monocular face reconstruction,preserving both shape fidelity and identity consistency.The core of our SFM is the basis matrix which can be used to reconstruct 3D face shapes,and the basic matrix is learned by adopting a twostage training approach where 3D and 2D training data are used in the first and second stages,respectively.We design a novel loss to resolve the distribution mismatch,enforcing that the shape parameters have the hyperspherical distribution.Our model accepts 2D and 3D data for constructing the sphere face models.Extensive experiments show that SFM has high representation ability and clustering performance in its shape parameter space.Moreover,it produces highfidelity face shapes consistently in challenging conditions in monocular face reconstruction.The code will be released at https://github.com/a686432/SIR.

基于OpenGL的三维仿真实现

提出了一种基于开放式三维图形程序标准 Ｏｐｅｎ Ｇ Ｌ 的三维仿真方法，论述了利用 Ｏｐｅｎ Ｇ Ｌ进行三维仿真的优点，以及仿真几何模型的构建、模型运动轨迹的确定、仿真过程的动态显示、以及仿真真实感实现的具体算法与策略。上述方法已成功地应用于西安飞机公司数控弯管机三维仿真软件的实现中。

基于OpenGL空间机械臂三维重构可视化研究

机器臂存在结构复杂、真实设备成本昂贵、实验条件受限等问题。在机械臂的设计研究中,可视化仿真系统作为一种安全灵活的工具,发挥着非常重要的作用,并广泛应用于机械臂设计和开发的各阶段。利用专业建模软件3D Studio MAX建立机械臂三维模型及场景,然后转换为OpenGL可以识别的3DS模型数据格式。在Visual C++开发环境中完成3DS模型数据的读取,结合OpenGL进行机械臂三维模型的重绘。根据机械臂D-H参数完成的机械臂正逆运动学求解算法,可以嵌入基于OpenGL的空间机械臂三维仿真系统中完成机械臂的运动控制和路径规划。实验结果表明,在Windows环境下以Visual C++结合OpenGL技术进行机械臂三维重构可视化研究,便于嵌入用户控制算法,可为机械臂的运动控制和路径规划研究提供依据。

基于OpenGL的交互式虚拟漫游系统开发研究

针对传统虚拟漫游系统存在的沉浸感差、交互差等缺陷,提出了一种基于OpenGL技术开发交互式三维虚拟漫游系统的方法。以三维图形理论为基础,基于OpenGL技术和编程工具VC++开发了一个交互式虚拟漫游系统,并详细讨论了交互式场景漫游的一些关键技术,如场景的建模,烟雾的模拟,地面天空的绘制,交互控制,视点漫游技术的实现,等等。实验结果表明,交互式虚拟漫游系统实现了三维虚拟场景的漫游交互功能以及部分自然现象及景观的模拟,取得了良好的仿真效果。

基于VC++的OpenGL三维应用程序的设计

介绍了OpenGL的基本知识,以VC++6.0和OpenGL为开发平台,阐述了创建三维应用程序的基本过程,探讨了色彩与光照、融合与通明等真实感增强处理方法.

One-shot Face Reenactment with Dense Correspondence Estimation

One-shot face reenactment is a challenging task due to the identity mismatch between source and driving faces.Most existing methods fail to completely eliminate the interference of driving subjects’identity information,which may lead to face shape distortion and undermine the realism of reenactment results.To solve this problem,in this paper,we propose using a 3D morphable model(3DMM)for explicit facial semantic decomposition and identity disentanglement.Instead of using 3D coefficients alone for reenactment control,we take advantage of the generative ability of 3DMM to render textured face proxies.These proxies contain abundant yet compact geometric and semantic information of human faces,which enables us to compute the face motion field between source and driving images by estimating the dense correspondence.In this way,we can approximate reenactment results by warping source images according to the motion field,and a generative adversarial network(GAN)is adopted to further improve the visual quality of warping results.Extensive experiments on various datasets demonstrate the advantages of the proposed method over existing state-of-the-art benchmarks in both identity preservation and reenactment fulfillment.

OpenGL环境下点云模型的显示变换

介绍一种标准的3D点云模型OBJ文件的特点和基本结构,在VC++6.0平台下结合OpenGL完成了OBJ格式文件的读取和点云模型的三维显示、旋转、平移、缩放变换功能.实验结果表明,利用OpenGL开发的程序可以高效实时地实现点云的各种操作.

基于OpenGL的三维地质可视化研究

构建三维地质模型并强调其可视化是近年来研究的热点问题。介绍了在VC++开发平台上利用OpenGL建立地质体三维模型的可视化系统,并以沈阳浑南新区实测数据为例展示三维模型的显示效果。

多桩段工程边坡3维建模方法研究

使用多桩段边坡的角点数据插值生成边坡场景的地形数据,运用OpenGL的自动化技术实现了多桩段边坡的3维建模。使用分块纹理映射的方法,克服了OpenGL渲染机对影像纹理大小的限制。应用低分辨率纹理映射和选择边坡增强纹理分辨率的映射的方法实现了场景的快速建立和漫游,解决了对多桩段边坡的大场景渲染效率与分析时需要的视觉效果的冲突问题。研究成果能够被用于实际工程中,为边坡的辅助设计提供了支持。

基于OpenGL的六自由度三维弹道仿真技术研究

以弹道仿真为研究对象,根据模块化的建模思想,结合工程应用实践经验对六自由度算法模型进行了参数修正和计算方法的改进,采用管道实现C#和Open GL的互联,构建了基于Open GL仿真环境的导弹六自由度弹道三维仿真验证和演示平台。通过仿真展示了三维可视化效果并验证了所采用的六自由度算法模型的合理性,并将该三维仿真平台应用于实际弹道测试,经验证,该模型和仿真平台在能够真实可靠并且清晰直观的反应出导弹的六自由度弹道特性的同时,还能实时提供良好的可视化效果。

基于OpenGL技术的水下地形三维建模与可视化

针对传统水下施工设计存在的缺点,提出一种基于OpenGL技术的水下地形三维建模与可视化方法,该方法可以自动实现水下地形DEM模型的构建、三维可视化以及任意剖面分析,对于指导现代水下施工设计具有重要意义。

基于OpenGL的有限元建模三维仿真

在有限元建模方面利用OpenGL进行三维仿真,研究了有限元分析类库的建立,系统论述了结合OpenGL进行三维仿真的方法和流程,开发了方便实用的有限元分析前置处理系统,并给出了工程实例。