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rgb2lab2
- 使用matlab进行图像的彩色模型转换，输出不同于正常人眼的彩色模型(Color model transformation of images is carried out using MATLAB, and color models which are different from normal human eyes are output)
PR
- 本资料给出了‘运用特征值法进行人脸识别’的matlab仿真程序和相应的范例，以供大家学习和参考.((This information gives matlab program using matrices to identify the pictures of human faces,and alse gives the corresponding examples for all to study .))
FaceLivenessDetection
- 对可见光图片的人脸活体判断，内有C++和matlab实现，具体说明详见readme(For the visible light picture of the human face to determine, there are C++ and matlab implementation, specific instructions see readme)
pcaimfuse
- To achive this multimodal image fusion. we collect the same person image from "Home Care Human speciality Hospital" in Banglore. i gave here on CT and MRI image to fuse. i collected 120 images from there..he matlab code for image fusion in
Grabcut_WITH_matlab
- 人机交互，Matlab 自带GUI进行编写，附带测试图像，运行完美(Human-computer interaction, Matlab comes with GUI to write, accompanied by testing images, running perfectly)
generate_skinmap
- 克以及有所给出的图片可以有效识别人脸，手，身体的matlab代码(This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by thi
语音信号加噪和降噪处理
- 语音是人类交换信息的有效渠道之一，也是我们日常生活交流的主要形式。 语音与当今科学技术的快速发展息息相关，特别是计算机中的语音交互技术，通 过对语音信号进行采集和处理，实现人与人之间有效信息的传输、获取以及存储。 基于 MATALAB 的语音信号去噪设计，对噪声信号进行有效地滤除，将降噪后的语音信号与原始 信号在时域和频域进行对比分析，计算出信噪比，并在 MATLAB 中设计 GUI 仿 真界面进行展示.(Speech is one of the effective ways for human
基于Kinect的机械臂人机交互控制系统设计
- 基于kinect的人机交互系统设计，使用matlab编程实现六自由度机器人运动(This research is to explore how to combinate Kinect sensor technology and robot arm control technology to create a robot arm control platform with somatosensory control through a fast and robust way. The soma
ewa
- 用pca进行的人脸他图像识别程序最终版本使用MATLAB编程语言。(use pca method to process the recognition the picture of human face,use the matlab.)
shapeconvex
- matlab程序。利用二维图像生成3d形状，有原始代码，有测试数据。(We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image.To alleviate the reconstruction ambiguity, a widely-used approach is to confine the unknown 3D shape
HDR_Imaging
- 采用基于梯度的算法，通过matlab实现高动态范围成像。高动态范围图像，相比普通的图像，可以提供更多的动态范围和图像细节，根据不同的曝光时间的低动态范围图像，利用每个曝光时间相对应最佳细节的低动态范围图像来合成最终高动态范围图像，能够更好的反映人真实环境中的视觉效果。这里采用的高斯模糊展示了高动态范围图像中超出取值范围的数值也是有用的，即使它们在转换成低动态范围图像的时候通常都要被裁掉。在原始的高动态范围图像中，这些像素都有非常大的亮度值。当图像模糊的时候，周围的像素亮度被“拉高”并且在色度映射