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11.
A neural-statistical approach to the reconstruction of novel viewpoint image general regression neural networks(GRNN) is presented.Different color value will be obtained by watching the same surface point of an abject from different viewpoints due to specular reflection,and the difference is related to the position of viewpoint.The relationship between the position of vewpoint and the color of image is non-linear,neural network is introduced to make curve fitting,where the inputs of neural network are only a few calibrated images with obvious specular reflection.By training the neural network,network model is obtained.By inputing an arbitrary virtual viewpoint to the model,the image of the virtual viewpoint can be computed.By using the method presented here,novel viewpoint image with photo-realistic property can be obtained,especially images with obvious specular reflection can accurately be generated.The method is an image-based rendering method,geometric model of the scene and position of lighting are not needed.  相似文献   
12.
Non-Rigid Image Registration Algorithm Based on B-Splines Approximation   总被引:1,自引:0,他引:1  
An intensity-based non-rigid registration algorithm is discussed, which uses Gaussian smoothing to constrain the transformation to be smooth, and thus preserves the topology of images. In view of the insufficiency of the uniform Gaussian filtering of the deformation field, an automatic and accurate non-rigid image registration method based on B-splines approximation is proposed. The regularization strategy is adopted by using multi-level B-splines approximation to regularize the displacement fields in a coarse-to-fine manner. Moreover, it assigns the different weights to the estimated displacements according to their reliabilities. In this way, the level of regularity can be adapted locally. Experiments were performed on both synthetic and real medical images of brain, and the results show that the proposed method improves the registration accuracy and robustness.  相似文献   
13.
A novel approach to realistic collision-free animation of the upper limb was proposed.According to the obstacle-avoidance strategy of human hand,the movement trajectory was computed by manipulability model and minimum-jerk based interpolation.In each key frame,an improved in~verse kinematics method was adopted to obtain a believable posture of the upper limb.By comparing with the real movement data obtained from the motion capture device,the resultant animation was testified to be natural.This method can be performed in interactive time,and therefore is applicable in animation edit and control of virtual humans.  相似文献   
14.
孙济洲 《学会》2012,(5):40-40
<正>低龄老人是指已经退休,年龄在70岁以下的老年人。我国现行法定退休年龄相对发达国家较低,一些企业单位的内退、病退、特岗退休导致了大量准老年人提前进入退休状态,退休后的寿命占到生命周期的1/3左右,低龄老人已经形成了社会不可忽视的重要群体。  相似文献   
15.
Thecontinuoustechnicaldevelopmentincomputergraphics ,scientificvisualizationandmedicalscannertechnol ogyhasmadepossiblefastandaccuratethree dimensionalmedicalvisualizationfrommulti slicesoftomographyimagesoverthepastdecade .Traditionaltomographyimagesusedinthree dimensionalreconstructionsaremainlyfromcomputer izedtomography (CT) .Thelatestresearchesextendthedo maintomagneticresonanceimaging (MRI) ,computerizedto mographyangiography (CTA) ,singlephotoemissiontomogra phy(SPET) ,positronemiss…  相似文献   
16.
在对文物进行预防性保护中,需要对监测点进行定期监测而获得监测数据。由于大多数文物依存环境不允许在监测点处设置监测标记,因此不破坏文物依存环境的重定位技术就显得尤为重要。本文提出了一种基于几何约束的三点重定位方法,借助激光标线仪、激光测距仪等设备,在不需要破坏文物依存环境的情况下,对监测点进行精确的重定位。重定位的理论精度达到了0.1mm。在实验室和敦煌莫高窟的实际实验中证明,我们提出的三点重定位方法重定位精度高、操作简单、易于安置、不破坏文物的依存环境,适用于多种监测环境。  相似文献   
17.
With the increasing resolution of medical CTscanners, datasets of 10—100 gigabyte sizes are get-ting more and more common[1]. Due to their large si-zes, the transmission between data server and brows-ing clients over low-bandwidth networks and the dis-play of these data sets are time-consuming. There-fore, multiresolution models are developed, so thatthe data can be visualized incrementally as they arrive(progressive refinement). Wavelets are a natural can-didate for such a multiresolution a…  相似文献   
18.
由于年代久远、保存环境简陋、材质脆弱,再加上洪水、沙尘等自然灾害和人为的破坏,现存古代壁画产生了不同程度不同种类的病害。要对这些壁画进行预防性保护或对病害进行修复,需要根据病害的类型采取不同的措施。其中一项重要的过程是在所获取的图像上对病害的类型、程度和区域进行精准的标识,为修复或监测分析工作奠定基础。敦煌莫高窟等遗址保存壁画的规模巨大,而目前壁画病害的标识一般使用通用工具如Auto CAD等,这类工具存在着专业针对性差,学习周期长,操作繁琐等问题,很难满足病害标识工作的需要。通过对古代壁画病害标识工作的调研,本文设计了一种专业针对性强,学习周期短,操作简捷,功能全面的古代壁画病害标识系统。通过在敦煌莫高窟的实际应用,证明本系统可以减轻病害标识工作的繁重程度,极大地提高病害标识工作的效率。  相似文献   
19.
介绍一种用于支持如光线跟踪和辐射度求解等全局光照的高效分层遮挡测试算法.它基于简单的圆锥体相交检测,可以尽早排除场景中的非相关部分和迅速找出那些落在给定物体的阴影区的多边形顶点.它已显示出是一种传统的阴影探测方法(ShadowFeeler)的有效替换算法.  相似文献   
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