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shape-recognition
- 這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式-1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed
ASM
- this file contains several parers in active shape model for face recognition
shaperecognition
- Shap Context based shape recognition
spline
- here is a source code for the Spline 2 d shape recognition
shape-context-character-recognition
- 基于形状上下文字符识别（shape context）的原作者的代码-Vendor code based the shape context character recognition (shape context)
OpenCV_2EyeRecognize
- OPENCV双目人脸识别实验，使用OPENCV2.4.6提供的直方统计算法方案为蓝本重新设计架构，将原本的单目识别扩展成双目识别，本工程已实现双目图像提取和双倍识别计算，可进行二次开发，进化成3D形体识别-OPENCV binocular face recognition experiments, algorithm histogram statistics provided by the use of OPENCV2.4.6 is modeled to design architecture,
Neural-Networks_project
- shape recognition with neural network
asm
- 基于主动形状模型的人脸识别特征点征点标定，-Face recognition based on active shape models feature point calibration feature points,
mubiaogenzong
- 对视频中目标进行识别跟踪，四别处目标后对目标画出矩形框并跟踪。-Target recognition in the video track, the last four on away goals in a rectangular shape and target tracking.
simple-hand-tracking
- C++一个基于Kinect的简单手形识别程序-C++ based Kinect simple hand shape recognition program
vedio
- 目标检测与识别 1. 颜色检测 采集大量敌方机器人的图片数据，并进行训练，得到对方机器人的颜色区间， 并以此为阈值对整幅图像进行颜色检测，找到疑似敌方机器人的区域，量化 成二值图。 2. 滤除噪声点 对得到的二值图像进行开运算处理，滤除颜色检测结果中的噪声点。 3. 连通区域检测 对图像中的疑似区域进行连通区域检测，计算出每个疑似区域的外部轮廓， 用矩形近似表示。 4. 连通区域合并 根据连通区域之间的距离和颜色相似性，将距离接近且相似性高的连通区域
图像识别
- 基于STM32的图像识别。可识别简单的形状，如圆形，方形。(Image recognition based on STM32. A recognizable shape, such as a circle or a square.)
simulate
- 形状是由图像的轮廓形成的，所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)
4
- 设计采用DSP控制的采棉机图像识别与处理系统，该控制系统核心采用TI公司的DSP TMS320F28335，它根据棉花的形状和所处的位置信息，决定是否发出采摘信息，从而控制采摘的步进电机旋转，使采摘口能够绕采摘头轴线旋转360度动作，使采摘口智能寻棉，实现棉花的精准定位与快速准确采摘。(The design of a cotton picker image recognition and processing system controlled by DSP is designed. The c