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Description: 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，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Digital image of the iris in the location of the effective positioning of the key issues of iris recognition. With a model based on the active contour method of positioning the location of the iris, the first gray projection method used to detect the pupil as the point of the pseudo-pupil center, the center of a circle as long as it can fall within the pupil. And then to the pseudo-center as the center, in terms of their spacing around the N points to get the snake as the initial reference point, the operating mechanism in accordance with the snake continued to evolve until the border until the inner iris. Finally, after calculating the evolution of snake and snake-shaped heart of the control point on the centroid distance, choose the average as the radius of the pupil, the dynamic contour model of the centroid as the center of pupil can be an accurate positioning within the borders of the iris position. The experimental results show that the position with common methods, the methods o
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Size: 1764352 |
Author: 侯汶杉 |
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Description: 求图的任两结点间的距离，(2) 用二维数组存放C和A ，C是原成本矩阵，A 是求出的距离矩阵
(3) 算法采用三重循环，其中最外层的循环变量必须代表中间结点，中层的循环变量代表头结点而内层循环变量代表尾结点。
(4) 试着把三层循环变量的顺序作些改变，最外层的循环变量仍代表中间结点，而中层循环变量代表尾结点，内层循环变量代表头结点。把两种做法所得结果作比较,看结果是否相同
(5) 显示结果要清晰易懂
(6) 本题运行结果
-Order to map any of the distance between two nodes, (2) with two-dimensional array of storage C, A, C is the original cost matrix, A is to find the distance matrix (3) The algorithm uses the triple loop, one of the most outer loop variable must be representative of intermediate nodes, the middle loop variable represents the first node and the inner loop variable represents the end nodes. (4) tried to three-loop order of the variables to make some changes, the most outer loop variables still represent intermediate nodes, while the middle loop variable represents the end nodes, the inner loop variable represents the first node. The two approaches to compare the results to see whether the results the same (5) shows the results must be clear and understandable (6) The question running results
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Size: 955392 |
Author: lixiang |
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Description: 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置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Iris contour model based on dynamic positioning. In the digital image in the position of the iris iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. And then the pseudo-center of a circle centered around the angle of its N-point interval to take the snake as the initial reference point, in accordance with operating mechanism evolving snake, until the iris until the inner boundary. Finally, the calculation of the evolution of the snake-shaped after the heart and snake on the control point with the centroid distance, whichever is the average radius of the pupil as a dynamic contour model of the centroid as the center of the pupil can accurately locate out of the iris inner boundary position. Experiments show that, com
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Size: 287744 |
Author: 318 |
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Description: inner-distance论文对应的程序-matlab code for inner-distance
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Size: 117760 |
Author: zhouy |
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Description: Using the Inner-Distance for Classification of Articulated Shapes
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Size: 116736 |
Author: HOU |
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Description: 通过j2se编程实现1024位RSA加密算法，内部含有明文密文再到明文的检测测试可以快速生成密钥对-Pass the j2se plait distance realization 1024 RSA to encrypt calculate way, inner part imply a clear statement secret content again arrive clear statement of examination test can fast born and airtight key rightness
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Size: 5120 |
Author: 刘伟 |
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Description: using the inner-distance for classification of articulated shapes.
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Size: 140288 |
Author: mokhong |
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Description: 成像处理一般包括三个步骤：1、距离向脉冲压缩，对一个合成孔径内的每个回波脉冲均进行压缩；2、距离徙动矫正，把属于同一点目标的脉冲校正到等距离线上、3、方位向脉冲压缩。-Imaging process generally comprises three steps: a distance to the pulse compression of echo pulses each have an inner aperture compression 2, range migration correction, the pulses belonging to the same point in the correction target line equidistant , 3, azimuth compression to pulse.
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Size: 13312 |
Author: 王飞 |
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Description: A image matching property to match images using inner distance calculation algorithm
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Size: 3097600 |
Author: dj |
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