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The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital ...
Recent years have seen a noticeable growth in migration flows from Africa and Middle East to Southern Europe, thus generating a remarkable increase of attention on media and public opinion, sometimes ...
Community indicator projects across America seek to understand and analyze the inter-relationships of multiple issues over a given geographic area, typically within an urban region or city. While map...
Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) ...
High number of geological phenomena – outcropping Pliocene rocks (Red Series), former and recent mud volcanoes, hydrothermal brines rich in Pb and Zn – which can provide significant information to un...
The aim of this study is to validate the Spectral Angle Mapper (SAM) algorithm for geological mapping in Central Jebilet Morocco and compare the results between high and medium spatial resolution sen...
The network architecture of the current Internet cannot accommodate the deployment of novel network-layer protocols. To address this fundamental problem, network virtualization has been proposed, wher...
Based on the analysis and research on the current geographic information sharing and metadata service,we design, develop and deploy a distributed metadata service system based on GeoNetwork covering...
Agriculture is one of the most important sectors in the economy of Southeast Asia countries, especially Thailand and Vietnam. These two countries have been the largest rice suppliers in the world and ...
Neural network (NN) applications have recently been employed to extract the parameters of an articulatory speech synthesizer from a given speech signal. Results from these attempts showed that a singl...
Shadow Mapping算法是目前广泛应用的阴影渲染方法,但该方法容易产生走样,特别是不能满足大规模场景中阴影的真实性和实时性要求。对此,提出一种利用平行面分割的改进Shadow Mapping算法,减少了算法运行时的缓冲空间,提高了阴影质量,尤其适合于动态大规模环境中实时阴影的生成。并用VS2005和OpenSceneGraph实现了算法的绘制过程,达到满意的视觉效果和生成速度。
该系统首次将图像识别系统与微区四探针定位技术相结合,实现了快速四探针在微区150~300μm范围自动定位与连续检测,可以实现大硅片(φ200mm)高精度、等间距测量。在理论上改进了Rymaszewshi方法,并给出了范德堡函数的多项式表达式,无需分段计算,并又提出了新厚度修正方式。该系统不仅将四探针构成方形,也可构成其它形状,测试灵活方便。该项目达到国际先进水平。
Photon Mapping是一种在全局光照计算中得到广泛应用的算法,尤其在光线跟踪算法中Photon Mapping已成为计算全局光照的最重要的算法.针对Photon Mapping中光强估计过程计算速度较慢这一缺陷提出了一种较为高效的光强估计算法,该算法利用对场景中少量点的光强估计结果通过加权平均的方法来近似地计算出绘制点处的光强值.实验结果表明在典型场景中该方法的计算速度与原方法相比有3~5...
The paper presents a novel video watermarking scheme called Mapping Energy video Watermarking (MEW) for copyright protection. The watermark is embedded in the compressed domain and extracted directly ...

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