Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12192309 |
Author:kankan |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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Description: HRS Reconstruction System This program build 3D model of object from range images. Program use modified volume reconstruction method for creating a model. In this method I replace difficult calculations on CPU with simple rendering on video card. -HRS Reconstruction System This program build 3D model of object from range images. Program use modified volume reconstruction method for creating a model. In this method I replace difficult calculations on CPU with simple rendering on video card. Platform: |
Size: 3581952 |
Author:于新月 |
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Description: 摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投
影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检
测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决
基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi—object tracking of traf氍c scene。how to detect the occlusion is a
key problem for vehicle
tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the
3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle
with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e-
sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve·
hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion
problem，which could not be solved with matching based method．The experimental results show that the proposed
method iS more emcient． Platform: |
Size: 296960 |
Author:christine |
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Description: 变模型是近几年提出的人脸建模新方法．基于若干原型人脸的知识，该方法实现
了真实感三维人脸的自动建模，并在图像分析、人脸识别、表情动画等方面的应用中取得了良好效果．回顾了基
于形变模型的人脸建模的研究概况、基本原理及应用情况，并对形变模型的进一步应用和发展进行了展望．-Recently， the face modeling method based on the knowledge of prototype face， the
morphable model， is proposed to reconstruct 3D face from facial images automatically． This model
uses me linear combination of the 3D prototypes to interpret facial image． And the model succeeds in
applications of image analysis，face recognition and expression animation， etc． The authors review the
study of morphable model and its’ development and applications， and presents the prospects for the
future research on the model and its’application． Platform: |
Size: 569344 |
Author: |
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Description: Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom.-Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom. Platform: |
Size: 349184 |
Author:doniya |
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Description: 这是一个基于openGl制作的一个手势识别程序(This is a 3D hand model developed mainly for vision-based hand motion analysis. The hand model is modeled as a set of rigid quadratic surfaces, and has 27 degrees-of-freedom (DoFs) including 6 DoFs of global motion and 21 DoFs of local motion. The hand skeleton is modeled as a kinematic chain of 20 joints connected by bones in a tree structure with the root at the wrist. In this program you can view the model from different positions and perspectives, and manipulate each DoF separately. More importantly, to assist research in this area, we also provide functions to generate the depth image, silhouette image and edge images, which can be easily used for model-based matching between the input and the 3D hand model.) Platform: |
Size: 71599104 |
Author:HUST——lxl
|
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Description: 编制通用 M程序包实现从数据采集到模型渲染的全程自
动计算. 最后应用给出的方法完成了对 100张序列切片图像的计算机三维重建.(The general M package is compiled to realize the whole process from data acquisition to model rendering
Finally, the 3D reconstruction of 100 slice images is completed by using the method given in this paper) Platform: |
Size: 350208 |
Author:Rinvay
|
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Search - 3D model from images