This paper investigates the removal of line scratches from old niovies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratches removal is approached as an optiniisation problem, which is solved by using a genetic algorithm. The method can be classified as a static approach...

Automatic human pose estimation is one of the major topics in computer vision. This is a challenging problem, with applications to gaming, human computer interaction, markerless motion capture, video analysis, action and gesture recognition. This thesis addresses the problem of automatically estimating the two dimensional articulated pose of a human in static range images. Implicit models of po...

In this paper a system for off-line traiiic sign detection is shown. Matlab-Image-processing toolbox is used for this purpose. The vision-based traffic sign detection module developed in this work manages 172x352 color images in RGB (Red, Green, Blue) format. The first step in the algorithm is to obtain the gradient image and its vertical edge projection. In a second step, a color and shape ana...

Visual perception is adapted toward a better understanding of our own movements than those of non-conspecifics. The present study determined whether time perception is affected by pictures of different species by considering the evolutionary scale. Static (“S”) and implied movement (“M”) images of a dog, cheetah, chimpanzee, and man were presented to undergraduate students. S and M images of th...

Previous research has suggested that people are unable to correctly choose which unfamiliar voice and static image of a face belong to the same person. Here, we present evidence that people can perform this task with greater than chance accuracy. In Experiment 1, participants saw photographs of two, same-gender models, while simultaneously listening to a voice recording of one of the models pic...

We present visualization techniques for timevarying volume datasets, i.e., time series of 3D data volumes. Instead of sequentially displaying the consecutive 3D volumes contained in such a time series, our method allows to depict the dynamics in a single static image. We extract the motion dynamics inherent to a time-varying volume dataset automatically during a preprocessing step by using thre...

Presented here is the problem of recovering a dynamic image superimposed on a static background. Such a problem is ill-posed and may arise e.g. in imaging through semireflective media, in separation of an illumination image from a reflectance image, in imaging with diffraction phenomena, etc. In this work we study regularization of this problem in spirit of Total Variation and general sparsifyi...

In this paper, we present a methodology that uses a deformable template to detect the human eye in static images. Geometrically, the used template is represented by two distinct entities: a circumference, that defines the iris contour; and two parabolas, one concave and other convex, that define respectively, the above and below contours of the eye. The geometrical shape of the used template is...

Cluttered background removal in static images with mild occlusion remains still a challenging task for object identification or classification problems. In most of the real-world images, vehicle objects with cluttered background containing trees, road views, buildings, people, etc tent to be a noisy data or leads to the problem of clarity. The background feature covers the major portion of the ...