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Description: 一直可以用方向键控制的小龙，地图也可以滚动-has keys can be used to control the direction of the little dragons, maps can also rolling
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Size: 2626951 |
Author: shanrui |
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Description: 地图模式识别是由计算机来对地图进行识别与理解，并借助一定的技术手段研究和分析地
图上的各种模式信息，获取地图要素的信息。其过程类似于人对地图的阅读，它是近年来在地图
制图领域中新兴起来的一门高技术，是信息时代人工智能、模式识别技术在地图制图中的具体
应用。由于它是传统地图制图迈向数字地图制图的一座桥梁，因此，地图模式识别代表了当前地
图制图领域发展的前沿和主攻方向，它与遥感技术、地理信息系统一起，被称为现代地图制图的
三大技术。-maps by computer pattern recognition is the right map to the identification and understanding. and the help of some technology research and analysis on the map various modes of information, access to map elements of the information. Similar to the process for map reading, it is in recent years in the field of cartography emerging up a high-tech, the information age, artificial intelligence, pattern recognition technology in the cartography of the specific application. Since it is the traditional cartographic maps into digital mapping of a bridge, therefore, Map pattern recognition on behalf of the current cartographic forefront of the development of the area and the main direction of its remote sensing technology, geographic information systems, known as modern cartographic technology of t
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Size: 145586 |
Author: 蛋蛋 |
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Description: 一直可以用方向键控制的小龙，地图也可以滚动-has keys can be used to control the direction of the little dragons, maps can also rolling
Platform: |
Size: 2626560 |
Author: shanrui |
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Description: 用矩量法计算天线电流的分布，场及方向图，阻抗矩阵-Using moment method of calculating the antenna current distribution, field and direction maps, impedance matrix
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Size: 1024 |
Author: 徐永杰 |
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Description: 均匀线阵因子方向图，可以修改为不同参数下的方向图，是以极坐标的图形显示。-ULA factor direction map, can be modified for different parameters under the direction of maps, based on polar coordinates of the graphical display.
Platform: |
Size: 1024 |
Author: 刘秦 |
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Description: 一个C++迷宫游戏的源码及迷宫地图文件 从文件读取迷宫，键盘控制移动方向，显示步数和碰壁次数，同步显示移动的当前位置，到达出口后显示祝贺信息，迷宫地图可在文件中更改。-A C++ source code and the maze game maze maze map files to read from a file, the keyboard control the direction of movement, showing the number of steps, and rebuffed the number of simultaneous display moving the current location, after the show to congratulate the arrival of export information, maze maps are available in the document changes.
Platform: |
Size: 1024 |
Author: 千点距 |
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Description: SOM神经网络（自组织特征映射神经网络）是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数，其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接，这样每个输出层节点均对应于一个连接权矢量。
自组织特征映射的基本原理是，当某类模式输入时，其输出层某一节点得到最大刺激而获胜，获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作，获胜节点及其周围节点的连接权矢量向输入模式的方向作相应的修正。当输入模式类别发生变化时，二维平面上的获胜节点也从原来节点转移到其它节点。这样，网络通过自组织方式用大量训练样本数据来调整网络的连接权值，最后使得网络输出层特征图能够反映样本数据的分布情况。根据SOM网络的输出状况，不仅能判断输入模式所属的类别，使输出节点代表某类模式，而且能够得到整个数据区域的分布情况，即从样本数据得到所有数据的分布特征。 -SOM neural network (self-organizing feature map neural network) is an unsupervised neural network. Network topology is an input layer and an output layer. Input layer nodes is the input dimension of the sample, each node represents a component input samples. Output layer nodes are arranged in two-dimensional array structure. X in the input layer and output layer each node of each neuron node Y by a weight (the weight vector as W) is connected, so that each output layer corresponds to a connection node of the right vector.
Self-organizing feature maps of the basic principle is, when each category of inputs into the model, its output layer one node get the maximum boost and win, Huoshengjiedian around Yixiejiedian Yin Zuo Yong Ye Shoudaojiaotai lateral stimulation. Then a learning network operation, the winner node and surrounding nodes in the right direction vector to the input mode to make consequential amendments. When the input mode type changes, the two-dimensional plane of the wi
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Size: 47104 |
Author: leidan |
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Description: GPS Direction Tool
This program reads the cordination from a serial GPS device and parses all the GPGGA, GPRMC sentences.
1- It extracts the correct location on the map.
2- User can select a destination on the map.
3- A very nice gauge, with arrows, shows the direction to the destination.
Maps can be added and calibrated by the system.
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Size: 2128896 |
Author: zafari |
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Description: 绘制方向和速度矢量图，绘制等高线图以及动画-Direction and velocity vector drawing, drawing contour maps, and animation
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Size: 1024 |
Author: chenling |
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Description: a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing.
Platform: |
Size: 4096 |
Author: ALI |
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Description: real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing.
Platform: |
Size: 1064960 |
Author: ALI |
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Description: 该文件附有程序的完整代码，是中国地质大学本科生毕业设计，计算机图形学方向的，实现功能类似谷歌地图里面滑动鼠标可以放大-The document with the complete program code is Graduation China University of Geosciences, the direction of computer graphics to achieve similar functionality inside Google Maps slide the mouse to zoom
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Size: 1219584 |
Author: 段锦涛 |
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Description: 里面有两个程序一个可以方便改变网络节点连接方向的程序，非常好用，另一个可以生成随机图，对研究网络的性能很有帮助-There are two programs that can easily change the direction of the program to connect network nodes, very easy to use, one can generate random maps, useful for the study of network performance
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Size: 1024 |
Author: 李望 |
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Description: 不同方法估计协方差矩阵的Capon波束形成,以及多点约束的Capon波束形成和方向图，自己运行效果很好。-Different methods of estimation covariance matrix Capon beamforming, and multi-point constraints Capon beamforming and direction maps, run their own good results.
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Size: 1024 |
Author: 小屯 |
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Description: A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
Platform: |
Size: 13056000 |
Author: xiaomingw |
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Description: 谷歌地图，商城寻找，非商业源码，供学习参考
-Store Finder is a multi-language fully featured PHP/Javascript/MySQL integrated with Google Maps API v3 that allows customers to locate your stores easily. Packed with Geo Location, Google Street View and Google Maps Direction your customers will never be lost again getting to your locations. The store finder will be able to list of nearby stores/outlets around your web visitors nearest to the furthest distance away.
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Size: 2723840 |
Author: charles |
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Description: This program implements the rendering framework that is used in the paper
D. De Silva, W. Fernando, and H. Kodikaraarachchi,
“A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. pp. 686-689. Mar. 2010.
which has the following features:
1. Depth maps are interpreted according to the MPEG Informative
Recommendations in MPEG Doc. N8038.
2. Left image is rendered Right most pixel to the Left most pixel and Right Image is rendered vice versa. This is done to make sure that no background pixels would appear as foreground.
3. Disocclusions are filled with Background pixel extrapolation,
however with some small modifications. Disocclusions are filled in the opposite direction to rendering.
- This program implements the rendering framework that is used in the paper
D. De Silva, W. Fernando, and H. Kodikaraarachchi,
“A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. pp. 686-689. Mar. 2010.
which has the following features:
1. Depth maps are interpreted according to the MPEG Informative
Recommendations in MPEG Doc. N8038.
2. Left image is rendered Right most pixel to the Left most pixel and Right Image is rendered vice versa. This is done to make sure that no background pixels would appear as foreground.
3. Disocclusions are filled with Background pixel extrapolation,
however with some small modifications. Disocclusions are filled in the opposite direction to rendering.
Platform: |
Size: 1412096 |
Author: phonox |
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