Search - eyelids

Search - eyelids - List

[ADO-ODBC] yaohao DL : 0: 很久以前帮房产商做的一个简单的摇号程序,比较粗糙,帮朋友做的而已,夜里撑着眼皮做的.-房产商a long time ago to help make the摇号a simple procedure, compared Rough help a friend to do it the night撑着eyelids done.
Update : 2025-02-17 Size : 1.65mb Publisher : 朱某某
[Special Effects] RanSac8.20 DL : 0: RanSac算法，拟合抛物线，画出上眼皮。具体看代码就能明白。-RANSAC algorithm, fitting a parabola, painted on the eyelids. Specific code will be able to understand the look.
Update : 2025-02-17 Size : 18kb Publisher : Ma xianzhe
[Windows Develop] snake DL : 0: A snake is an elongate legless carnivorous reptile of the suborder Serpentes that can be distinguished from legless lizards by the lack of eyelids and external ears. Like all squamates, snakes are ectothermic amniote vertebrates covered in overlapping scales. Like lizards, from which they evolved, they have loosely articulated skulls, and most can dislocate their lower jaw in order to swallow prey much larger than their own head. In order to accommodate their narrow bodies, snakes paired organs [such as kidneys] appear one in front of the other instead of side by side, and they have only one functional lung. Some species retain a pelvic girdle with a pair of vestigial claws on either side of the cloaca.-A snake is an elongate legless carnivorous reptile of the suborder Serpentes that can be distinguished from legless lizards by the lack of eyelids and external ears. Like all squamates, snakes are ectothermic amniote vertebrates covered in overlapping scales. Like lizards, from which they evolved, they have loosely articulated skulls, and most can dislocate their lower jaw in order to swallow prey much larger than their own head. In order to accommodate their narrow bodies, snakes paired organs [such as kidneys] appear one in front of the other instead of side by side, and they have only one functional lung. Some species retain a pelvic girdle with a pair of vestigial claws on either side of the cloaca.
Update : 2025-02-17 Size : 270kb Publisher : AMEL
[Special Effects] 12121 DL : 0: 眼睛状态的检测具有广泛的应用9 详细介绍了 = 种检测眼睛状态的方法 , 即灰度模板方法、 ? 6 7 5 1 ) 方法、投影的方法、找眼睛上眼睑的方法、用 ? ? ( 0 5 变换找眼珠的方法9 通过对这 = 种方法进行组合 , 提高了眼睛状态检测的准确率9 通过对 Α Β 个眼睛进行检测 , 准确率达到了 Α = 9 ? Χ9 实验结果表明了这 = 种算法组合算法的有效性-Detection of eye state with a wide range of applications = 9 details the types of eye state detection method, that is gray template method? 6751) method, projection method, the method to find the eyes on the eyelids, with a ? ? (0 to find ways transform eyes 5 through 9, the combination of these = methods to improve the accuracy of eye state detection rate of 9 Α Β months through the eyes of detection, precision is Α = 9 ? Χ9 experimental results show that = kinds of algorithm combinations algorithm
Update : 2025-02-17 Size : 949kb Publisher : 廖减员
[Graph Recognize] eyesegmentation DL : 0: 程序可实现人眼虹膜、眼睑及睫毛分割，主要功能有：（1）虹膜内外圆的霍夫圆检测；（2）眼睑检测以及参数方程的求解；（3）睫毛的最优化阈值处理。 vc文件夹下包含以下四个内容：（1）最后编译生成的.exe文件；（2）包含主要算法的.h头文件；（3）两幅原始图像（yangjing1.bmp,yanjing2.bmp）；（4）两幅经过MATLAB进行自适应直方图均衡化的图像（yanjing11.bmp,yanjing22.bmp）-Program can achieve human iris, eyelids and eyelashes segmentation, the main features are: (1) iris inside and outside the circle Hough circle detection (2) eyelid detection and parameter equation (3) the optimal threshold eyelash treatment. vc folder contains the following four elements: (1) generated by the final compilation. exe files (2) contains the main algorithm. h header files (3) the two original image (yangjing1.bmp, yanjing2.bmp) (4) After two MATLAB adaptive histogram equalization image (yanjing11.bmp, yanjing22.bmp)
Update : 2025-02-17 Size : 151kb Publisher : 郭卉
[Special Effects] IMECS2010_pp130-133 DL : 0: 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 structure is exploited to detect the eye region. The histogram of the detected region is calculated and its CDF is employed to extract the eyelids and iris region in an adaptive way. The center of this region is considered as the pupil center. The experimental results show ninety one percent’s accuracy in detecting pupil center.
Update : 2025-02-17 Size : 708kb Publisher : Gheis
[matlab] bothilids00 DL : 0: detect eyelids on eye images
Update : 2025-02-17 Size : 3kb Publisher : Dr A B
[Special Effects] Facial-Feature-Tarcking DL : 0: 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research to optimize facial feature extraction problem for a long time in the case of stickers marked point changes of texture features with traditional optical flow, Snake, variable template feature points can not effectively track and solve alone overhead and large, in order to extract the accurate information in a face image, the facial feature point tracking method, grouping, improved optical flow method and elastic graph matching feature point tracking. Little change in the feature point of eyes, eyebrows, and eyelids 14 expression using the optical flow method for tracking simulation using Gabor wavelet elastic graph matching method, and finally on the changes of eight characteristic points of the mouth portion.
Update : 2025-02-17 Size : 434kb Publisher : yaomeng
[Graph Recognize] Segmentation DL : 0: segmentiris - peforms automatic segmentation of the iris region from an eye image. Also isolates noise areas such as occluding eyelids and eyelashes.
Update : 2025-02-17 Size : 10kb Publisher : OMAR
[Industry research] 04711740 DL : 0: research paper on iris recognition system using comparison of eyelids and eye lashes
Update : 2025-02-17 Size : 281kb Publisher : saloni chopra
[Home Personal application] PCA-S DL : 0: Continuous efforts have been made to process degraded iris images for enhancement of the iris recognition performance in unconstrained situations. Recently, many researchers have focused on developing the iris segmentation techniques, which can deal with iris images in a non-cooperative environment where the probability of acquiring unideal iris images is very high due to gaze deviation, noise, blurring, and occlusion by eyelashes, eyelids, glasses,
Update : 2025-02-17 Size : 671kb Publisher : basma_ammour
[Other] PAPER6 DL : 0: A fast and accurate eyelids and eyelashes detection approach for iris segmentation(1)
Update : 2025-02-17 Size : 835kb Publisher : li
[Editor] irisCODE DL : 0: segmentiris - peforms automatic segmentation of the iris region an eye image. Also isolates noise areas such as occluding eyelids and eyelashes. Usage: [circleiris, circlepupil, imagewithnoise] = segmentiris(image) Arguments: eyeimage - the input eye image Output: circleiris - centre coordinates and radius of the detected iris boundary -segmentiris - peforms automatic segmentation of the iris region an eye image. Also isolates noise areas such as occluding eyelids and eyelashes. Usage: [circleiris, circlepupil, imagewithnoise] = segmentiris(image) Arguments: eyeimage - the input eye image Output: circleiris - centre coordinates and radius of the detected iris boundary
Update : 2025-02-17 Size : 359kb Publisher : hanabou