Design and implementation of the 3d image reconstruction platform.
三维图像重建实验平台设计与实现。
Methods Multi-slice Helical CT scanning was performed in 46 patients with scapular fracture. scapular 3D image reconstruction was carried out.
方法对46例肩胛骨折患者进行多螺旋CT扫描，重建肩胛骨表面遮盖法（ SSD）图像。
In practical clinic application, the 3d reconstruction of the single-modality medical image (ct, MRI) can not provide enough information for clinical doctors.
在临床的实际应用中，单模态的医学图像(CT,MRI)的3d重建不能提供医生所需要的足够信息。
The full preparation for physical examination, patient training, and proper selection of technique parameter are important factors to obtain qualified 3d reconstruction image.
在检查中充分准备和训练患者、选择合理的技术参数是获得高质量三维重建图像的重要因素。
In the application fields of computer vision, camera nonlinear distortion should be rectified in order to enhance the accuracy of the image measurement and 3d reconstruction.
在计算机视觉的应用领域中，为了提高图像量测和3维重建的精度，必须对相机的畸变误差进行修正。
Conclusion ct 3d reconstruction can provide patients with fracture of acetabulum an objective image and help to select a suitable fixation method.
结论CT三维重建为髋臼骨折患者术前提供客观、直接、真实图像，便于选择合理的内固定方法。
A novel algorithm for automatic 3D facial model reconstruction from a single front-view facial image and affective expression is presented.
本文提出了一种基于单幅正面人脸图像的人脸三维重建及情感表达的方法。
The detection of interest points is the basis of kinds of computer vision applications, such as: camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc.
兴趣点检测是许多计算机视觉应用的基础，如：摄像机定标、三维重建、图像匹配、视频检索、运动估计等。
The study in this thesis is about the algorithm of obtaining 3d data on the basis of range image obtained by structure light and the algorithm of object reconstruction.
本文对基于结构光获取的深度图像进行三维信息提取方法和目标重建算法这两部份进行研究。
The 3D reconstruction of medical image is the main area in medical dada 3D visualization, and is a important research branch in science data visualization too.
医学图像的三维重建是医学数据三维可视化研究的主要内容，也是科学数据可视化研究的一个重要分支。
We carry out research about digital human body thermal infrared image characteristics and human body surface 3d reconstruction on the basis of digital human body theory and model research.
在数字人体理论和模型研究基础上，开展了数字人体热红外图像特征和人体表面三维重构研究。
This paper mainly focuses on theories and methods of 3D extraction and reconstruction of manmade objects based on stereo image pair and integrated platform implementation.
本文着重探讨基于航空立体影像对的人工地物三维提取和重建的理论与方法，并研究开发了一体化立体影像平台。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The technique of image matching is the basis of image fusion, image mosaic and scene 3D reconstruction.
图像配准技术是图像融合、图像镶嵌以及影像三维重建的基础。
According to the problem of 3D face reconstruction from one image, this paper proposed a quick face reconstruction approach based on morphing a generic model.
实验证明，三维人脸重建方法快速简便，且只需单幅人脸照片，真实感强，并且可生成多种姿态、光照和表情的人脸图像，有较好的应用价值。
In this paper, a method for performing single view 3d reconstruction is present, in which the user provides image points and geometric information about the corresponding 3d points.
提出了一种单视三维重构方法，该方法是利用用户提供图像点及其对应的三维点之间几何信息。
Accurately analyzing sequences (or volumes) of clinical DICOM data and sorting the slices in each volume is a prerequisite for medical image analysis and three-dimensional (3d) reconstruction.
医学图像分析和三维重建等都需要对DICOM数据进行准确的序列分析并对各序列中的切片进行正确的排序。
Focus on two-dimensional medical image visualization system theory and the composition of technical means, 3d medical image reconstruction algorithm optimization improvements.
重点是二维医学图像的三维可视化系统的构成原理及技术手段、三维医学图像的重构算法的优化改进。
In medical rehabilitation and medical treatment, the 3d reconstruction of the medical image is one of important part.
在医疗康复与医学治疗中，医学图象的三维重建是一个重要的组成部分。
A robust 3d reconstruction method based on image sequence was presented.
提出了基于序列图像的鲁棒三维重建方法。
A system structure of 3d digital image reconstruction and display has been designed and implemented.
提出了一种三维数字像重建及其显示的软件系统结构设计和实现方法。
In this thesis, the main research content is several key detection techniques in MR images for femoral cartilage, including image segmentation, thickness measurement, 3d reconstruction.
本文就是以MR图像中股骨头软骨的图像分割、厚度测量、三维重建等几项关键的检测技术为主要研究内容的。
This paper studies 3d object reconstruction using 2d image of object contours got by structure light method and based on the computer vision technic.
本文运用计算机视觉测量技术，将结构光法测得的反映物体轮廓形状的二维图像信息进行三维重构。
The 2d medical image can be transformed into the 3d image by surface reconstruction and volume rendering.
通过表面重建和体绘制，可将医学二维图象转化为三维图象。
Image Mosaic is an important branch in image processing field, and it is widely used in the fields of computer vision, image-based rendering technique, medical image processing and 3d reconstruction.
图像拼接技术是数字图像处理领域里的一个重要分支，它被广泛应用于计算机视觉、全景图构造、医学图像处理应用、3d重构等领域。
The image registering, image segmentation, pixel data set construction and 3d special interpolation are the key technologies in medical images 3d reconstruction.
而图像的配准、图像分割、体数据集的构建、三维空间插值则是医学图像三维可视化实现过程中的关键技术环节。
Feature point matching is a key problem of computer vision and is frequently used in object recognition, image retrieval and 3d reconstruction and so on.
图像序列中的特征点匹配是计算机视觉中的一个基本问题，也是目标识别、图像检索以及3维重建等问题的基础。
This paper propose a method of reverse design for photograph image, and develop a CAD platform with reverse design and 3d surface reconstruction.
这里对照片影像反求设计方法作了较深入的探讨。在此基础上，研制开发了基于照片影像的反求设计及三维仿真的CAD平台。
With the research development of 3d medical image application in clinic, medical image 3d-reconstruction has become more and more significant.
随着医学图象临床应用研究的深入，基于医学图象的器官三维重构显得越来越重要。
With the research development of 3d medical image application in clinic, medical image 3d-reconstruction has become more and more significant.
随着医学图象临床应用研究的深入，基于医学图象的器官三维重构显得越来越重要。
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