Description: 通迁对原木节子轮廓的数学描述和对节子边缘点的确定，提出一种比较准确的寻找节子边缘点的视
频识别验证方法— 边缘检验算子法，对节子的形状进行有效的分析和脸证。提出了一种有效的节子数学描述和
视频处理方法，为节子的视频检侧技术提供了新的理论-Qualcomm moved on logs Setsuko the mathematical description contours and sub-section to determine the edge point, a more accurate search for the edge points Setsuko video identification verification method- the edge of test operator method, the shape of Setsuko effective analysis and face cards. Proposed an efficient mathematical description Setsuko and video processing method of sub-section of the video detection technology to provide a new theoretical Platform: |
Size: 132096 |
Author:xuyukun |
Hits:
Description: FaceDetector is a demo for an efficient face candidates selector proposed for face detection tasks in still gray-level images Platform: |
Size: 714752 |
Author:wsy |
Hits:
Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
Hits:
Description: 这片论文描述了动态物体的特征跟踪，用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别，模式识别，动态跟踪的开发人员，有很好的参考价值。用c++编写，如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing
images extremely rapidly while achieving high detection rates. There are three
key contributions. The first is the introduction of a new image representation called the
“Integral Image” which allows the features used by our detector to be computed very
quickly. The second is a learning algorithm, based on AdaBoost, which selects a small
number of critical visual features and yields extremely efficient classifiers [4]. The
third contribution is a method for combining classifiers in a “cascade” which allows
background regions of the image to be quickly discarded while spending more computation
on promising object-like regions. A set of experiments in the domain of face
detection are presented. The system yields face detection performance comparable to
the best previous systems [16, 11, 14, 10, 1]. Implemented on a conventional desktop,
face detection proceeds at 15 frames per second Platform: |
Size: 784384 |
Author:lai |
Hits:
Description: A very good paper that explain tracking facial feature under varying face pose and facial expression-This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks faci Platform: |
Size: 958464 |
Author:Ng Jack |
Hits:
Description: 人脸识别MATLAB工具箱
Faces detection toolbox v 0.1 -This toolbox provides some tools for faces detection using Local Binary Patterns and Haar features.
The task of detection is done by boosting approaches such Adaboosting, FastAdaboosting and Gentleboosting.
The main objective of this toolbox is to deliver simple but efficient tools mainly written in C codes with
a matlab interface and easy to modify. Platform: |
Size: 18769920 |
Author:he si |
Hits:
Description: 在公安系统中，经常需要对人脸和照片进行识别，目前普遍采用人工识别方法。人工识别
方法具有识别效率低、工作量大、需要第三方支持和不能实现远程识别等缺点。而采用计算机
对人脸照片进行识别，能有效克服以上的缺点，实现自动、高效、网络化的识别。因此，采用计算
机对人脸照片进行识别的技术，可以大大地提高破案效率，增大对犯罪分子的威慑力量，对于
打击犯罪行为具有重要的意义。-In the public security system, often need to face and photo identification, current widespread use of artificial recognition. Artificial identification method has identified low efficiency, heavy workload, you need third-party support and long-range identification and other shortcomings can not be achieved. The use of computers to recognize human face photos, can effectively overcome the above drawbacks, automatic, efficient, network-based recognition. Therefore, using computer photos human face recognition technology that can greatly enhance the detection efficiency, increasing the deterrent force of criminal elements, for the fight against crime is of great significance. Platform: |
Size: 69632 |
Author:zhaoshihao |
Hits:
Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
Hits:
Description: (C++)基于WebCam的人脸检测，用于人脸识别系统。高效识别照片，视频等-is based on a WebCam s face detection for face recognition system. Efficient identification photos, videos, etc. Platform: |
Size: 2610176 |
Author:lhhxs |
Hits:
Description: 利用Gabor滤波器进行特征提取，在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”-Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection and recognition, and iris recognition. Platform: |
Size: 1024 |
Author:Zhiyuan Wu |
Hits:
Description: A recognition process can be much more efficient if it is based on the detection of features that encode some information about the class to be detected. This is the case of Haar-like features that encode the existence of oriented contrasts between regions in the image. A set of these features can be used to encode the contrasts exhibited by a human face and their spacial relationships. Haar-like features are so called because they are computed similar to the coefficients in Haar wavelet transforms.-A recognition process can be much more efficient if it is based on the detection of features that encode some information about the class to be detected. This is the case of Haar-like features that encode the existence of oriented contrasts between regions in the image. A set of these features can be used to encode the contrasts exhibited by a human face and their spacial relationships. Haar-like features are so called because they are computed similar to the coefficients in Haar wavelet transforms. Platform: |
Size: 6144 |
Author:bavi |
Hits:
Description: 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify. Platform: |
Size: 18237440 |
Author:zhu rg |
Hits:
Description: In this paper we present the usefulness of the algorithm DCT (Discrete cosine Transform) blocks applied level image compression JPEG (Joint Photographic Experts Goup). It has been shown that this algorithm is the most efficient in the case of compression because it has very good properties for compaction energy related values. As a basic principle we eliminate high frequencies and keep the low and medium without visibly affecting image. DCT in JPEG compression algorithm is encountered in practical applications such as face detection, skin color, facial recognition, iris, fingerprints Platform: |
Size: 3511296 |
Author:Stumer_Robert |
Hits:
Description: 简单来说，卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recursive data processing algorithm (optimization autoregression data processing algorithms). To solve a large part of the problem, he is the best, most efficient even be the most useful. His wide range of applications has more than 30 years, including robot navigation, control, sensor data fusion even in the military and missile tracking radar systems and so on. In recent years, even it has been used in computer image processing, such as head and face recognition, image segmentation, edge detection and so on. Platform: |
Size: 2048 |
Author:王庭辉 |
Hits:
Description: 我的高维LBP特征的人脸识别方法董晨，徐东曺，方文执行，简隼。维度祝福：高维特征及其对人脸验证的有效压缩。计算机视觉与模式识别（CVPR），2013。我用OpenCV的人脸检测和人脸地标检测内部接口。实现的详细信息可以在Bor Chun Chen、楚松晨、Winston H. Hsu中找到。审查和高维局部二进制模式及其在人脸识别中的应用实施，技术报告tr-iis-14-003，中央研究院信息科学研究所，2014。（PDF）如果您使用此代码进行研究，请引用上面的技术报告。有关更多信息，请访问项目网站# #前提# # # OpenCV(My implementation of high dimensional lbp feature for face recognition based on Dong Chen, Xudong Cao, Fang Wen, Jian Sun. Blessing of Dimensionality: High-dimensional Feature and Its Efficient Compression for Face Verification. Computer Vision and Pattern Recognition (CVPR), 2013. I use openCV for face detection and IntraFace for facial landmark detection. Details of the implementations can be found in Bor-Chun Chen, Chu-Song Chen, Winston H. Hsu. Review and Implementation of High-Dimensional Local Binary Patterns and Its Application to Face Recognition, Technical Report TR-IIS-14-003, Institute of Information Science, Academia Sinica, 2014. (PDF) If you use this code for your research, please kindly cite the technical report above. For more information, pelase visit the project website ##Prerequisites ###openCV) Platform: |
Size: 336896 |
Author:moonteresa
|
Hits:
Search - efficient face detection