搜索资源列表
us_apgxy
- zemax源码： This DLL models a standard ZEMAX surface type, either plane, sphere, or conic The surface also demonstrates a user-defined apodization filter The filter is defined as part of the real ray trace, case 5 The filter can be used at th
eye_track0103
- 通过摄像头采集眼睛图像，实现瞳孔中心的定位于视线跟踪-Collected through the camera eye image, to achieve the pupil center position in the gaze tracking
gazenew
- 基于GRNN神经网络的视线跟踪源程序。 其中网络的输入分别是瞳孔中心，半径，瞳孔中心与普洱青斑向量。-GRNN neural network-based tracking source line of sight. Network input, respectively, which is the pupil center, radius, the pupil center and Pu
snake
- 在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方
mySnake-2
- 在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方
mySnake-2
- 基于动态轮廓模型的虹膜定位.在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位
face
- 图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
pupil-center
- to find the pupil radius using similarity based approach.
mySnake
- 本程序是在VC++6.0下编写的关于瞳孔面积检测的一个小程序，可以显示出瞳孔的面积大小，以及瞳孔的中心。-The program is written in VC++6.0 under the pupil area detected on a small program that can show the pupil size, and the pupil center.
image-recognition-
- 图像识别的MATLAB代码，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an eff
TRACKEYE811
- 包括瞳孔和虹膜的半径找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 -找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius
IMECS2010_pp130-133
- This paper presents a novel adaptive algorithm to detect the center of pupil in frontal view faces. This algorithm, at first, employs the viola-Jones face detector to find the approximate location of face in an image. The knowledge of the face
segmentiris
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
hysthresh
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
nonmaxsup
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
linecoords
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
circlecoords
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
houghcircle
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
location-pupil-based-on-Hough
- 导入人脸图像，根据Canny算法查找第一个边缘点，搜索邻域边缘点以最后一个边缘点作为新起点，进行下一轮搜索，初始化Hough矩阵确定瞳孔边缘界限计算瞳孔面积，定位瞳孔圆心坐标-Import facial image, according to Canny algorithm to find the first edge point, the search neighborhood edge point to the last point of the edge of a new starting
04289893
- This paper presents the segmentation algorithm used for localization of iris for the development of robust iris recognition algorithms for biometric process. Iris localization plays a vital importance in iris identification. The method determ