Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 213866 |
Author:陈先奎 |
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Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 48635 |
Author:陈先奎 |
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Description: 深度图象的生成 生成圆球的深度图象（摄像机坐标系）和深度图象数据存储；
这是本人的深度图像分析的课程作业，vc编写，包括原代码，可执行程序，以及试验报告。-depth Image Generation Generation magnificently depth images (camera coordinate system) and the depth of image data storage; This is my depth analysis of the images courses operations, vc preparation, including source code, executables, and the test report. Platform: |
Size: 81284 |
Author:田东剑 |
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Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 214016 |
Author:陈先奎 |
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Description: 深度图像生成：主要用于生成圆球的深度图像，并计算物体的高斯和平均曲率，以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 48128 |
Author:陈先奎 |
Hits:
Description: 深度图象的生成 生成圆球的深度图象（摄像机坐标系）和深度图象数据存储；
这是本人的深度图像分析的课程作业，vc编写，包括原代码，可执行程序，以及试验报告。-depth Image Generation Generation magnificently depth images (camera coordinate system) and the depth of image data storage; This is my depth analysis of the images courses operations, vc preparation, including source code, executables, and the test report. Platform: |
Size: 1995776 |
Author:田东剑 |
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Description: HTML 5是近十年来Web开发标准最巨大的飞跃。和以前的版本不同，HTML 5并非仅仅用来表示Web内容，它的新使命是将Web带入一个成熟的应用平台，在HTML 5平台上，视频，音频，图象，动画，以及同电脑的交互都被标准化。本文专题将带您体验HTML 5，深入下一代Web开发标准。-HTML 5 is a Web development standards over the past decade the greatest leap forward. And previous versions, HTML 5 is not just used to represent Web content, its new mission is to bring a mature Web application platform, the platform in the HTML 5 video, audio, image, animation, as well as with computer interactions have been standardized. This feature will take you to experience HTML 5, the next generation of Web development standards in depth. Platform: |
Size: 4802560 |
Author:yangmuwen |
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Description: 由一幅几何特征的图像生成渐变的深度图像。-Geometric features an image from the gradient of the depth image generation. Platform: |
Size: 378880 |
Author:王晓 |
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Description: 由于成像条件变化造成的遥感图像之间的几何形变和灰度差异给影像匹配带来了困难，深入研究了
SIFT特征描述符的生成方法，针对SIFT特征维数过高的问题进行改进，利用特征点邻域的圆形区域构造新
的描述符，增强了描述符自身的抗旋转性，并降低了特征描述符的维数。实验表明，改进的特征描述符是可行
有效的，在遥感影像目标匹配中取得满意的实验结果。-Remote sensing image geometric distortion caused by changes due to imaging conditions and grayscale differences between makes it difficult to image matching, in-depth study
SIFT feature description generation method breaks, improved SIFT features for the problem of high dimensionality, feature points using a circular neighborhood new regional structure
Descriptor, the descriptor itself enhances the anti-rotation resistance, and reduces the number of dimensions of feature descriptors. Experimental results show that the improved feature descriptor is feasible
Effective and achieve satisfactory results in Remote Sensing Image Matching. Platform: |
Size: 334848 |
Author:rfanddsp |
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Description: 该程序可以将三维图像生成DSM深度影像，生成DSM深度影像的过程就是通过逐点内插的方法生成格网化的数字表面模型DSM，然后把DSM按照高程进行灰度量化处理，最终生成与灰度图像类似的采用灰度值大小反映高程变化的DSM深度影像。-The program 3 d images can be generated DSM depth image, the generation process of DSM depth image is generated by the method of point-by-point interpolation grid handling digital surface model of the DSM, then the DSM gray quantitative processing according to the elevation, the resulting use similar to that of the gray image grey value reflect the elevation changes to the size of the DSM depth image. Platform: |
Size: 1024 |
Author:lqsayf |
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Description: 本书是深度学习真正意义上的入门书，深入浅出地剖析了深度学习的原理和相关技术。书中使用Python3，尽量不依赖外部库或工具，从基本的数学知识出发，带领读者从零创建一个经典的深度学习网络，使读者在此过程中逐步理解深度学习。书中不仅介绍了深度学习和神经网络的概念、特征等基础知识，对误差反向传播法、卷积神经网络等也有深入讲解，此外还介绍了深度学习相关的实用技巧，自动驾驶、图像生成、强化学习等方面的应用，以及为什么加深层可以提高识别精度等“为什么”的问题。(This book is a true sense of in-depth learning introductory book, in-depth and shallow analysis of the principles of in-depth learning and related technologies. Using Python 3, the book tries not to rely on external libraries or tools, starting from basic mathematical knowledge, to lead readers to create a classic in-depth learning network from scratch, so that readers gradually understand in-depth learning in the process. The book not only introduces the basic knowledge of depth learning and neural network, such as the concept, characteristics, and so on, but also the error back propagation method, convolution neural network and so on. In addition, it also introduces the practical skills related to depth learning, the application of automatic driving, image generation, reinforcement learning and so on, and why to deepen the layer. In order to improve the accuracy of identification and other "why" problems.) Platform: |
Size: 14304256 |
Author:wangjindian00 |
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Search - depth image generation