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With a growing emphasis on human identification, iris recognition as a biometric identification has recently received increasing attention. The first step in iris recognition is segmentation. In this paper a new segmentation approach is offered which does not use any information of color or texture as the segmentation cues. Instead, we use random sample consensus method to fit an ellipse or a circle...
Object removal in image and video sequences has attracted many researchers in video processing. In this paper, a novel method is proposed to separate moving objects from background based on combination of Kalman filtering and background subtraction. Also, a video completion algorithm is proposed to remove the extracted objects. This algorithm uses the temporal information of frames to complete the...
In this paper we propose a method to reconstruct the 3D shape of object using its different silhouettes through the rigid movement. The moving object is captured by two cameras during time. A robust curve stereo matching algorithm is employed to extract the precise location of some singular-points for any sequence. The motion of object is estimated by tracking these points and a large number of cameras...
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