By comparing the features of an object from a desired image to features of the object in the current image, geometric relationships are exploited to enable a Euclidean reconstruction from a homography matrix that relates the imagespace feedback to the position/orientation of the wheeled mobile robot (WMR) in a local coordinate system. The information obtained from the homography is used to deve...

In this paper a visual servoing architecture based on a parallel robot for the tracking of faster moving objects with unknown trajectories is proposed. The control strategy is based on the prediction of the future position and velocity of the moving object. The synthesis of the predictive control law is based on the compensation of the delay introduced by the vision system. Demonstrating by exp...

The traditional human-computer interaction is mainly through the mouse, keyboard, remote control, and other peripheral equipment electromagnetic signal transmission. This paper aims to build a visual system series of deep learning machine vision models, so that people can achieve complete only camera screen. established includes function modes three basic peripherals in interaction: mouse (X-Y ...

By observing visual landmarks it is possible to continuously update an estimated robot position while the robot is moving. In particular, using a triangulation algorithm based on three landmarks the robot position can be estimated each time three landmarks are observed. If the selected landmark triplet is an optimal triplet, the estimated robot position is accurate and errors do not accumulate....

Visual pollution, observed in urban areas, makes human beings suffer indirectly from mental distress and illnesses in long term. We are daily confronted with a variety of advertisement pictures in city squares and review them in our minds. But we may not be aware of the fact that such a visual scramble leads to mind distraction, decreasing mental concentration. The present study applies the tec...

Visual object recognition is an open and challenging problem in computer vision. Note that fixing the position of the objects is one of the difficult problems in the object recognition task. Biological visual system tends to find naturally the most informative regions in a scene. In this paper, we present an object recognition approach based on the visual saliency. Firstly, the most salient reg...

purpose : to determine cyclotorsional eye movement between the upright position and the supine position, in iranian patients with high preoperative astigmatism methods : this prospective cross sectional study contains 102 eyes of 59 patients who were candidates for refractive surgery with technolas 217z100 excimer laser system for correction of high astigmatism. wavefront measurements using zyw...

Visual pollution, observed in urban areas, makes human beings suffer indirectly from mental distress and illnesses in long term. We are daily confronted with a variety of advertisement pictures in city squares and review them in our minds. But we may not be aware of the fact that such a visual scramble leads to mind distraction, decreasing mental concentration. The present study applies the tec...