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Facial Boundary Image Reconstruction Using Elliptical Approximation and Convex Hull

机译:使用椭圆近似和凸包的脸部边界图像重建

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The Stretch of Biometrics' applications can only be limited by limiting ones' imagination! Biometrics is the Science and Technology of measuring and analyzing biological data for authentication purposes. In addition to verification the guiding force behind biometric verification has been convinience. Face enjoys a prime position in the realm of biometrics because it is very easily accessible when compared to the other biometrics. Efficient accomplishment of Face Recognition confronts innumerable hurdles in the form of variations in lighting conditions during image capture, Occlusions, damage in facial portions due to accidents etc. The application of Facial Image Inpainting also fails when the occlusions or the deformalities are present across the boundary of the object of interest(face), since the bounds for the application of the inpainting algorithm is not precisely defined. Hence recovery of the complete picture of a human face from partially occluded images is quite a challenge in Image Processing. The proposed FIREACH algorithm concentrates on the generation of a convex hull and a non linear elliptical approximation of the depleted and partially visible boundary of the human face, given different parameters to achieve an Efficient Boundary Recovery. The Boundary Recovery Algorithm is a pre-processing step which aids in setting up of a suitable platform for the proficient application of the Facial Image Inpainting.
机译:只能通过限制人们的想象力来限制“生物识别技术”的应用范围!生物识别技术是为鉴定目的而测量和分析生物数据的科学和技术。除了验证之外,生物特征验证背后的指导力量也很方便。脸部在生物识别技术领域中占据主要地位,因为与其他生物识别技术相比,它非常易于使用。人脸识别的有效完成面临着无数的障碍,其形式包括图像捕获过程中照明条件的变化,遮挡,由于事故造成的面部损伤等。当遮挡或畸变跨越边界时,面部图像修复的应用也会失败。因为没有精确定义修复算法的应用范围,所以无法确定感兴趣的对象(面部)的位置。因此,从部分被遮挡的图像恢复人脸的完整图片在图像处理中是很大的挑战。所提出的FIREACH算法着重于凸包的生成以及人脸耗尽和部分可见边界的非线性椭圆近似,并给出了不同的参数来实现有效的边界恢复。边界恢复算法是一个预处理步骤,有助于建立合适的平台来熟练应用面部图像修复。

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