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A_New_Algorithm_ofFastFaceDetection_underComplexCo
- 使用一种新的假面变换和模板匹配的人脸检测算法，能够对复杂环境中大小不等的人脸 进行快速、准确的检测．算法首先通过假面变换来预测人脸位置上边沿的中心，然后对图像中的预 测位置进行模板匹配，设计了一类对照明变化、噪声干扰具有较强适应性的模板匹配方法，最后对 匹配结果进行验证，确定人脸准确位置．采用多种环境下的大量图片进行实验，结果显示该算法具 有较快的检测速度和较高的准确性及鲁棒性． -A novelalgorithm offacedetection based on mask
face_detection
- computer vision, automatic detection, human face, face candidates search, skin-colour determination, 2D colour space, 3D colour space, illumination independence.
imag_improve_rgb
- This a two stage method in which at first image RGB compensated and then converted to YCbCr to normalise overall illumination of image.Its cascaded implementation of section 2.A of paper "A FAST SKIN REGION DETECTOR" by Phil Chen, Dr.Christos Greecos
3-D-Models-Pose-and-Illumination
- The 3-D Morphable Model was introduced as a generative model to p redictthe appearances o f an individual while using a statistical prior on shape and texture allowin g its parameters to be estimated from single image. Based on these new unde
yalefaces_evalTest
- The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions. The data format of this database is the same as the Yale Face Database B. Please refer to the homepage of the Yale Face Databas
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
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
occlusion-refer2
- Face recognition [1], the least intrusive biometric technique in terms of acquisition, has been applied to a wide range of commercial and law enforcement applications. State-ofthe- art face recognition systems perform with high accuracy under
OptiFuzz: a robust illumination invariant face recognition system and its implementation
- In this paper,we address the effect of illumination on the face detection and the face recognition problem by introducing a novel illumination invariant method, called OptiFuzz. It is an optimized fuzzy-based illumination invariant method to solve th
Face-Detector-Training
- 由一个3D变形人脸模型取自动生成适应的训练样本。由统计视角，tailored训练数据保证了所有的数据变化且由任意的人脸属性丰富训练样本，例如，年龄或体重。更进一步，它可能自动适应到环境约束，例如，来自于监控摄像机的照明或视角约束。我们使用裁剪的（tailor）图象训练一个新的Viola Jones的adaboost 目标检测框架的多核实现。这个新的实现不仅快速的，而且多特征通道的使用成为可能，例如，在训练期间的颜色特征。在我们实验中，我们训练7个依赖视角的人脸检测子并在Face Detectio