955 resultados para pacs: geography and cartography computing


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球果类植物是现存裸子植物中最为繁盛的一群,也是目前组成北温带森林植被的重要成分,我国是球果类植物科属的重要分布、分化或保存中心。对这些科属的分类和系统发育的研究,无疑对北温带的森林植被的研究,以及林业生产均具有重要的理论和实用价值.本研究即是围绕着球果类中的Pinaceae,Taxaceae及Cephalotaxaceae等科展开的研究,内容主要包括以下几方面: 一、在《中国植物志》第七卷的基础上,完成了《FLORA OF CHINA》中裸子植物Ginkgoaceae,Arancariaceae Pinaceae,Taxaceae,和Cephalotaxaceae各科的修订和编写. 建立2个新种、2个新变种、12个新组合、64个新异名、2个新分布,2个新启用名,分类群及其名称的变动和增补,以及增补异名57个。 二、根据植物的地理分布与系统发育统一的原理,在资料分析和实验的基础上,运用表征分析和分支分析研究方法,同时结合化石和地史资料,针对松科的分类、地理分布、以及起源分化和扩散等问题进行了一系列系统的研究,主要结论如下: 1.提出松科分类的新系统,将松科划分为三个亚科:松亚科Subfam.Pinoideae:仅一属Pinus Linn.: 落叶松亚科Subfam.Laricoideae Melchior&Werderm, emend.N.Li et L.K.Fu:包括四属Larix Mill.,Cathaya Chun&Ku:tng, Picea A Dretr. andPseudotsuga Carr.;冷杉亚科Subfam.Abietoideae Pilger, emend.Frankis:包括五属Abies Mill.,Cedrus Trew, Pseudolarix Gord.,Keteleeria Carr.,and Tsuga Carr. 2.构思和绘出了以地质年代为纵座标的松科系统发育树。 3.进行松科植物分区,将松科划分为6区、4亚区。并分别附有分区图、各区所分布种数的统计表、以及各属目前的地理分布和化石分布图。 4.松科在地质时期曾是一个很庞大的类群,现代松科只是其祖先中少部分喜温性分支的后裔,其兴旺与温带成份的出现关系密切,可能是一类衍生类群. 5.松科的起源时间虽然可追溯到侏罗纪甚至三迭纪,但现代松科各属的出现时间大约是在早白垩纪至第三纪之间。 6.松科各属可能并非起源于同一时间和地点。松属可能是现存的、最早分化出来的类群,于侏罗纪至早白垩纪间起源于欧美古陆;其它属则到晚白垩纪至第三纪早期(有1-2属至中期)才陆续从其祖先复合体中分化出来。 7.现代松科的早期扩散可能存在着以下三条主要的迁陡路线,即:欧美路线、欧亚路线和古白令路线.

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This paper addresses the problem of recovering the 3D shape of a surface of revolution from a single uncalibrated perspective view. The algorithm introduced here makes use of the invariant properties of a surface of revolution and its silhouette to locate the image of the revolution axis, and to calibrate the focal length of the camera. The image is then normalized and rectified such that the resulting silhouette exhibits bilateral symmetry. Such a rectification leads to a simpler differential analysis of the silhouette, and yields a simple equation for depth recovery. It is shown that under a general camera configuration, there will be a 2-parameter family of solutions for the reconstruction. The first parameter corresponds to an unknown scale, whereas the second one corresponds to an unknown attitude of the object. By identifying the image of a latitude circle, the ambiguity due to the unknown attitude can be resolved. Experimental results on real images are presented, which demonstrate the quality of the reconstruction. © 2004 Elsevier B.V. All rights reserved.

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Model-based optical motion capture systems require knowledge of the position of the markers relative to the underlying skeleton, the lengths of the skeleton's limbs, and which limb each marker is attached to. These model parameters are typically assumed and entered into the system manually, although techniques exist for calculating some of them, such as the position of the markers relative to the skeleton's joints. We present a fully automatic procedure for determining these model parameters. It tracks the 2D positions of the markers on the cameras' image planes and determines which markers lie on each limb before calculating the position of the underlying skeleton. The only assumption is that the skeleton consists of rigid limbs connected with ball joints. The proposed system is demonstrated on a number of real data examples and is shown to calculate good estimates of the model parameters in each. © 2004 Elsevier B.V. All rights reserved.

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