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cvpappers
- 3篇关于计算机视觉的论文，非常棒，是我精挑细选的，值得参考，有人脸检测、信息融合等-three on Computer Vision paper, terrific, I was handpicked, is worth considering, some face detection, Information integration
remoteSensing
- 一种新的彩色图像特征检测算法 -学术论文 - 图像图形网-机器视觉,数字水印,遥感,指纹,人脸识别,生物医学,神经网络,人工智能,GIS,小波变换-a new color image feature detection algorithm-academic-Image Network Graphics-machine vision, digital watermark, remote sensing, fingerprint, face recognition, biomedical, neur
Basedonwaveletanalysisandprincipalcomponentanalysi
- 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。-Based on wavelet analysis and princ
788
- 人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also
face_detection
- computer vision, automatic detection, human face, face candidates search, skin-colour determination, 2D colour space, 3D colour space, illumination independence.
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
eigface
- Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classif
Face-Detection-and-Tracking---MATLAB-a-Simulink-E
- Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety, and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking probl
raw
- face recognition is the most important challenging in the research area of computer vision. Different type of illumination takes place from dim light condition to dark light condition. Two types of condition are there. a) Controlled condit
Channel-Division-drak-image-enhancement
- A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping f
Carry-out-the-food-contact-Marketing
- 近年来，随着科技和网络不断进步和普及，智能手机已经成为网络时代的寻常之物，随之而来的移动终端也进入人们 的视野，人们在使用手机时下载的app 不尽相同，那么app 开发后如何营销获得市场成为运营商必须面对的一大问题，本文主要 通过宏观分析app 营销的发展状况和营销模式，从微观角度分析“触点餐”的营销方式，并讲述我们在做app 项目过程中的收获和 创新，着重用户需求、用户体验、用户反馈，从用户的角度开发和运营app，同时app 的营销带动用户的增长，开辟属于触点餐的营 销之路，使
first-review-report
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
sparse-representation-pdf
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
Face-Recognition-survey
- Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and th
histogramOfGradients
- HOG PK Ali Hassan Ali Hassan opencv, MATLAB, Java, Android, Eclipse, XML, HTML,... Islamabad, Capital 0.0 New on Elance 22/hr rate About Ali Hassan I’m primarily interested Computer Vision and Image Processing projects. I hav
PCA_ORL
- 人脸识别技术作为生物体特征识别技术的重要组成部分，在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法（PCA）在人脸识别中的应用，在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真，并对样本图像进行了重构。本实验在ORL人脸库的基础上，选用每人前5张图片，共计40人200幅样本图像，通过快速PCA算法将10304维的样本特征向量降至20维，并实现了基于主分量的人脸重建，验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Fac