Description: 这是用c#实现的david low的sift（尺度不变特征点变换算法）特征检测，面向对象的实现代码写的十分的好，是图形图象学习的好资料
-This is the realization of c# david low sift the (scale-invariant feature points transform algorithm) Feature detection, object-oriented code written in achieving very good, is studying graphic images of good information Platform: |
Size: 538624 |
Author:潘宁 |
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Description: 適合初學者學習使用與學習的範例.包含範圍.
1.RPG行走模式
2.npc置放方法.
3.外部地圖的讀入方式.使用-字串-讀入.
4.物件化的邊界判斷！
5.超簡潔邊界與碰撞偵測
使物件化產生的npc依然保有邊界判斷的能力而不是只仰賴主程式的碰撞偵測.
此亦為完整使用物件的概念.故易於學習.
使用game api支援！
故延伸性非常高～
請使用sun J2ME Wireless Toolkit運行
（直接將本資料夾置入Wireless Toolkit裡的apps資料夾即可）-Suitable for beginners learning to use and learning examples. Contain the scope of .1. RPG walking mode method 2.npc placed .3. External maps mode read. Use- string- read .4. Objects to determine the boundary of! 5. Ultra-compact boundary and collision detection so that the object of generated npc still retain the ability to determine the border rather than just rely on the main program of the collision detection. Also for the integrity of the concept of using objects. So easy to learn. The use of game api support! Therefore, an extension of a very high ~ Please use the sun J2ME Wireless Toolkit to run (directly to the folder into the Wireless Toolkit in the apps folder) Platform: |
Size: 109568 |
Author:林家銘 |
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Description: （1）写一个final参数类M，包括比较次数、交换次数、探测次数属性，并重写构造器和toString方法。
（2）写一个抽象类A，其中包括要排序的数据。提供三个final方法，分别完成比较、探测、交换操作的同时，正确改变私有的M类对象成员的相关属性。并提供一个虚方法doSort,同时提供一个final方法sort（先设置M对象初值，然后调用doSort方法，返回M对象引用）
（3）写三个采用不同方法排序的A类的派生类A1,A2,A3
（4）写一个测试类作为主类，分别生成A1,A2,A3的对象并调用sort方法，显示三个方法在排序时候的性能参数。-(1) write a final parameters of type M, including a number of the exchange frequency, to detect the number of attributes, and rewrite the constructor and the toString method. (2) to write an abstract class A, including the sort of data. Final offers three methods, respectively compared to detection, the exchange operation at the same time, the right to change the private members of M-type object associated attributes. And to provide a virtual method doSort, while providing a final way to sort (first set the initial value M object, and then call doSort methods, the return of M object reference) (3) to write three different methods to sort the A class derived class A1, A2 , A3 (4) write a test class as the main categories, and to generate A1, A2, A3 of the object and call sort method, showed that the three methods in order when the performance parameters. Platform: |
Size: 2048 |
Author:jiuyou |
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Description: 一种Java与OpenCV结合实现的目标检测模块
提出一种Java与OpenCV结合实现的目标检测模块,详细讲述了利用JN I技术调用OpenCV目标检测方法的具体步骤和关键过程。-A combination of Java and OpenCV implementation of the target detection module, a combination of Java and OpenCV implementation of the target detection module, described in detail the use of technology JN I call OpenCV object detection method and the key to the process of concrete steps. Platform: |
Size: 344064 |
Author:sunny |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: musicdsp source code archive-Analysis
Beat Detector Class
Coefficients for Daubechies wavelets 1-38
DFT
Envelope detector
Envelope Detector class (C++)
Envelope follower with different attack and release
Fast in-place Walsh-Hadamard Transform
FFT
FFT classes in C++ and Object Pascal
Frequency response from biquad coefficients
Java FFT
Look ahead limiting
LPC analysis (autocorrelation+ Levinson-Durbin recursion)
Magnitude and phase plot of arbitrary IIR function, up to 5th order
Measuring interpollation noise
QFT and DQFT (double precision) classes
Simple peak follower
tone detection with Goertzel
Tone detection with Goertzel (x86 ASM)
Effects
2 Wave shaping things
Alien Wah
Band Limited PWM Generator
Bit quantization/reduction effect
Class for waveguide/delay effects
Compressor
Decimator
Delay time calculation for reverberation
DIRAC- Free C/C++ Library for Time and Pitch Manipulation of Audio Based on Time-Frequency Transforms
dynamic convolution
Early echo s with image-mirror techn Platform: |
Size: 826368 |
Author:Alan Tang |
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Description: （1）写一个final参数类M，包括比较次数、交换次数、探测次数属性，并重写构造器和toString方法。
（2）写一个抽象类A，其中包括要排序的数据。提供三个final方法，分别完成比较、探测、交换操作的同时，正确改变私有的M类对象成员的相关属性。并提供一个虚方法doSort,同时提供一个final方法sort（先设置M对象初值，然后调用doSort方法，返回M对象引用）
（3）写三个采用不同方法排序的A类的派生类A1,A2,A3
（4）写一个测试类作为主类，分别生成A1,A2,A3的对象并调用sort方法，显示三个方法在排序时候的性能参数。-(1) write a final parameter class M, including the number of comparisons, the number of exchanges, detecting the number of attributes, and rewrite the constructor and the toString method. (2) to write an abstract class A, including the data you want to sort. Provide three final, were completed, detection, and exchange operations at the same time, the correct change private members of the M class object attributes. A virtual method doSort, and while providing a final method sort (first set the the M object initial value, and then call doSort method returns the M object reference) and (3) write three different sort of class A derived class A1, A2 , A3 (4) write a test class as the main class, were generated A1, A2, A3 object and call the sort method, three methods are displayed in the performance parameters of the sort when. Platform: |
Size: 6144 |
Author:given |
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Description: object classification using recognized scene text in natural images. While the state-of-the-art relies on visual cues only, this paper is the first work which proposes to combine textual and visual cues. Another novelty is the textual cue extraction. Unlike the state-of-the-art text detection methods, we focus more on the background instead of text regions. Once text regions are detected, they are further processed by two methods to perform text recognition Platform: |
Size: 8192 |
Author:MANIKANDAN |
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Search - object detection java