Unmanned aerial vehicles (UAVs) are increasingly replacing manned systems in situations that are dangerous, remote, or difficult for manned aircraft to access. Its control tasks are empowered by computer vision technology. Visual sensors are robustly used for stabilization as primary or at least secondary sensors. Hence, UAV stabilization by attitude estimation from visual sensors is a very act...

the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

one of the most important parameters in evaluating a watermarking algorithm is its capacity. generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. but this measure does not show what the side effects would be on image quality, watermark robustness and capacity. in this paper we propose a three dimensional measure named capacity surface which shows the effects of ca...

This paper presents a generic framework in which images are modelled as orderless sets of weighted visual features. Each visual feature is associated with a weight factor that may inform its relevance. This framework can be applied to various bag-of-patches approaches such as the bag-of-visual-word or the Fisher kernel representations. We suggest that if dense sampling is used, different scheme...

If a visual observer moves through an environment, the patterns of light that impinge its retina vary leading to changes in sensed brightness. Spatial shifts of brightness patterns in the 2D image over time are called optic flow. In contrast to optic flow visual motion fields denote the displacement of 3D scene points projected onto the camera’s sensor surface. For translational and rotational ...

Control and coordination of agents in multi-agent systems is demanding and complex task. Applications like search and rescue Jennings et al. (1997), mapping of unknown environments or just simple moving in formation demands gathering a lot of information from surrounding. A local sensor-based information is preferred in large formations due to observability constraints. On the other hand, local...

Control and coordination of agents in multi-agent systems is demanding and complex task. Applications like search and rescue Jennings et al. (1997), mapping of unknown environments or just simple moving in formation demands gathering a lot of information from surrounding. A local sensor-based information is preferred in large formations due to observability constraints. On the other hand, local...

In this paper, we present a novel system which combines depth from stereo and visual hull reconstruction for acquiring dynamic real-world scenes at interactive rates. First, we use the silhouettes from multiple views to construct a polyhedral visual hull as an initial estimation of the object in the scene. The visual hull is used to limit the disparity range during stereo estimation. The use of...

Objective This study aims to compare the accuracy of visual, quantitative gravimetric, and colorimetric methods used to determine blood loss during cesarean delivery procedures employing a hemoglobin extraction assay as the reference standard. Study Design In 50 patients having cesarean deliveries blood loss determined by assays of hemoglobin content on surgical sponges and in suction canisters...

The visual attention complexity of a scene is regarded as a feature describing many information of the content in a video sequence, which meanwhile plays an important role in various applications to estimate the perceptual quality, information retrieval and so on. In this paper, the hypothesis about visual attention complexity is proposed. The complex video sequence in the view of visual attent...