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Description: 地球放大镜(NASA World Wind)源码
NASA World Wind俗称地球放大镜,是NASA(美国)国家航空和宇宙航行局联合出品,类似Earthview 3D的鸟瞰工具,更加权威而且目前完全免费。透过这套程序的3D引擎,可以让你从外太空看见地球上的任何一个角落。-Earth magnifier (NASA World Wind) source NASA World Wind commonly known as the Earth magnifier, NASA (USA) National Aeronautics and Space Agency director, Earthview similar 3D bird's-eye view of the tools, but now more authority completely free. Through this process the 3D engine, so you can see the Earth from outer space in any one corner.
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Size: 7419392 |
Author: 余伟 |
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Description: 这是一个用于角点检测的算法程序,精度还可以,适合图像匹配时使用,对于一些特征点也可以效果明显,值得一看-This is for a corner detection algorithm procedures, the accuracy can also suitable for use image matching, For some feature points can obviously, an eye-catcher
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Size: 1284 |
Author: 嘉靖 |
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Description: 地球放大镜(NASA World Wind)源码
NASA World Wind俗称地球放大镜,是NASA(美国)国家航空和宇宙航行局联合出品,类似Earthview 3D的鸟瞰工具,更加权威而且目前完全免费。透过这套程序的3D引擎,可以让你从外太空看见地球上的任何一个角落。-Earth magnifier (NASA World Wind) source NASA World Wind commonly known as the Earth magnifier, NASA (USA) National Aeronautics and Space Agency director, Earthview similar 3D bird's-eye view of the tools, but now more authority completely free. Through this process the 3D engine, so you can see the Earth from outer space in any one corner.
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Size: 7418880 |
Author: 余伟 |
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Description: 这是一个用于角点检测的算法程序,精度还可以,适合图像匹配时使用,对于一些特征点也可以效果明显,值得一看-This is for a corner detection algorithm procedures, the accuracy can also suitable for use image matching, For some feature points can obviously, an eye-catcher
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Size: 1024 |
Author: 嘉靖 |
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Description: 鱼眼镜头标定程序。国外一个学校的鱼眼镜头标定。含有标定图。可以自动提取角点并相机进行校正!-Fish-eye lens calibration procedures. Abroad, a school of fish-eye lens calibration. Containing calibration map. Can automatically extract the corner point and camera correction!
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Size: 5753856 |
Author: Sean |
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Description: Matlab平台下用SuSan算法检测眼睛角点-Matlab platform with SuSan algorithm to detect the eye corner
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Size: 3072 |
Author: 江水 |
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Size: 1428480 |
Author: |
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Description: 人脸识别中的眼角定位和预处理,大家可以了解一些人脸识别的相关内容-Face recognition and pre-positioning in the corner of the eye, we can understand the contents of some of the relevant face recognition
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Size: 871424 |
Author: 潘桂聪 |
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Description: 这是一篇介绍基于亚像素的视线追踪方法,主要介绍了视线模型及眼角检测的方法,被多次引用-This is an introduction to the line of sight model and corner detection method based on the sight of the sub-pixel tracking method, was repeatedly quoted
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Size: 313344 |
Author: suson |
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Description: 针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配,进而导致图像不能拼接的问题,提出一种在OpenCV配置环境下角点检测的基础上,进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners can not match, which led to the image can not be spliced problem, an environment in OpenCV corner detection configuration based on the new method of corner matching
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Size: 215040 |
Author: 唐浩 |
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Description: 基于Hough变换和无轨迹卡尔曼滤波的眼睛角点跟踪_黎云汉.zip-Based on Hough Transform and unscented Kalman filter tracking _ Li Yunhan eye corner. Zip
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Size: 1531904 |
Author: Can |
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Description: 这是一个用于角点检测的算法程序,精度还可以,适合图像匹配时使用,对于一些特征点也可以效果明显,值得一看-This is for a corner detection algorithm procedures, the accuracy can also suitable for use image matching, For some feature points can obviously, an eye-catcher
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Size: 1024 |
Author: madecle |
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Description: 基于Gabor wavelet经典论文,谷歌引用上千次,经验证,算法可行性高,对眼动人机交互很有帮助。-A eye corner detection based on Gabor wavelet,it has been cited beyong 1000 times,the algorithm is very effective.
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Size: 1677312 |
Author: 袁艳丽 |
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Description: 用市面上的摄像头,可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and network layers, so that each layer can learn more features and greatly improve the generalization ability. The network is deeper, the amount of calculation in each layer is reduced, and the ability of feature extraction is strengthened, so as to improve the accuracy of target classification. On the LFW data set, the accuracy of face recognition reaches 98.40%. In this experiment, mtcnn is introduced into the face detection algorithm. Its backbone network is divided into three convolutional neural networks: p-net, R-Net and o-net. Among them, o-net is the most strict in screening candidate face frames. It will output the coordinates of a human face detection frame and five facial feature points (left eye, right eye, nose, left mouth corner, right mouth corner).)
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Size: 2415616 |
Author: 莱尼 |
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