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1.
可见性裁减是计算机图形学的基本问题,也是虚拟现实引擎中的一个关键技术.在解决可见性裁减问题时,将Durand提出的扩展投影作为保守可见性预处理的算法与Greene等人提出的层次遮挡图和层次深度图的算法相结合,根据层次遮挡图来判断被遮挡物是否可见,并对算法中视点单元的大小和遮挡板的数量对裁减结果的影响作了分析.  相似文献
2.
Structured light-based sensing (SLS) requires the illumination to be coded either spatially or temporally in the illuminated pattern. However, while the former demands the use of uniquely coded spatial windows whose size grows with the reconstruction resolution and thereby demanding increasing smoothness on the imaged scene, the latter demands the use of multiple image captures. This article presents how the illumination of a very simple pattern plus a single image capture can also achieve 3D reconstruction. The illumination and imaging setting has the configuration of a typical SLS system, comprising a projector and a camera. The difference is, the illumination is not much more than a checkerboard-like pattern - a non-structured pattern in the language of SLS - that does not provide direct correspondence between the camera’s image plane and the projector’s display panel. The system works from the image progressively, first constructing the orientation map of the target object from the observed grid-lines, then inferring the depth map by the use of a few tricks related to interpolation. The system trades off little accuracy of the traditional SLSs with simplicity of its operation. Compared to temporally coded SLSs, the system has the essence that it requires only one image capture to operate; compared with spatially coded SLSs, it requires no use of spatial windows, and in turn a less degree of smoothness on the object surface; compared with methods like shape from shading and photometric stereo, owing to the use of artificial illumination it is less affected by the surface reflectance property of the target surface and the ambient lighting condition.  相似文献
3.
Shape from focus (SFF) is a technique to estimate the depth and 3D shape of an object from a sequence of images obtained at different focus settings. In this paper, the SFF is presented as a combinatorial optimization problem. The proposed algorithm tries to find the combination of pixel frames which produces maximum focus measure computed over pixels lying on those frames. To reduce the high computational complexity, a local search method is proposed. After the estimate of the initial depth map solution of an object, the neighborhood is defined, and an intermediate image volume is generated from the neighborhood. The updated depth map solution is found from the intermediate image volume. This update process of the depth map solution continues until the amount of improvement is negligible. The results of the proposed SFF algorithm have shown significant improvements in both the accuracy of the depth map estimation and the computational complexity, with respect to the existing SFF methods.  相似文献
4.
A new method for focus measure computation is proposed to reconstruct 3D shape using image sequence acquired under varying focus plane. Adaptive histogram equalization is applied to enhance varying contrast across different image regions for better detection of sharp intensity variations. Fast discrete curvelet transform (FDCT) is employed for enhanced representation of singularities along curves in an input image followed by noise removal using bivariate shrinkage scheme based on locally estimated variance. The FDCT coefficients with high activity are exploited to detect high frequency variations of pixel intensities in a sequence of images. Finally, focus measure is computed utilizing neighborhood support of these coefficients to reconstruct the shape and a well-focused image of the scene being probed.  相似文献
5.
信息压缩是信息传输过程中的一个关键环节,随着三维显示和三维视频技术的发展和完善,未来的视频传输将不仅限于二维视频。但是,三维视频的数据量很大,这就给三维视频的传输带来了阻碍。因此,设计出高压缩比、高压缩效率的三维视频压缩技术,不但可以解决三维视频的传输问题,而且有利于促进三维视频及三维显示领域的进一步发展。本文系统地讨论了目前三维视频压缩技术的研究进展,在对各种技术特点研究的基础上,提出了进一步的研究和发展方向。  相似文献
6.
郭琪  周莉  刘正华  杨博 《电子技术应用》2012,38(4):43-45,48
基于自适应色度分割方法,采用专用集成电路(ASIC)完成深度图像的处理及优化。系统级仿真验证结果表明,该深度图像处理方法具有实时性、兼容性、实用性等特点,适用于实时自由视点3D视频的处理。  相似文献
7.
针对双目立体匹配中存在的误匹配、视差场稀疏等不足,提出了一种将区域匹配和特征匹配相结合的块匹配算法.对匹配图像对进行极线校正和限定搜索区域,采用SAD算法进行相似度测量.对小型无人机动平台的双目系统采集的任意一幅图像对用不同大小的匹配窗进行匹配.对结果进行了分析,结果表明了该方法的良好效果及实用性.  相似文献
8.
图像深度提取是机器视觉的重要课题。本文研究了一种基于图像频域特征的深度恢复方法,对散焦图像以点扩散函数建立模糊程度与距离间的关系,以二维散焦图像频域局部特征为依据,通过取样窗口的恰当选择,提取深度信息。对采集图像的实验结果表明,该方法行之有效。  相似文献
9.
针对二维图像序列提出一种基于运动对象的深度图像生成方法。采用改进的均方差累加算法提取背景模型,并利用背景差分法提取运动对象图形,将人工绘制的背景模型的深度图像,结合每帧运动对象图形深度赋值,自动合成用于二维视频到三维视频转换的图像序列的深度图像。实验结果证明,相对于传统的仅仅依靠计算机视觉获取深度图像的方法,它获得的深度图像,不仅画面的深度信息真实、可靠,而且转换后的三维场景更立体化。  相似文献
10.
World Health Organization estimates that 80% of the world population is affected by back-related disorders during his life. Current practices to analyze musculo-skeletal disorders (MSDs) are expensive, subjective, and invasive. In this work, we propose a tool for static body posture analysis and dynamic range of movement estimation of the skeleton joints based on 3D anthropometric information from multi-modal data. Given a set of keypoints, RGB and depth data are aligned, depth surface is reconstructed, keypoints are matched, and accurate measurements about posture and spinal curvature are computed. Given a set of joints, range of movement measurements is also obtained. Moreover, gesture recognition based on joint movements is performed to look for the correctness in the development of physical exercises. The system shows high precision and reliable measurements, being useful for posture reeducation purposes to prevent MSDs, as well as tracking the posture evolution of patients in rehabilitation treatments.  相似文献
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