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In this paper, a monocular vision measurement method based on refraction of light is proposed. A flat glass board is placed between the target and the camera, which causes light refraction during the measurement process. By analyzing images taken before and after light refraction, the 3D coordinates of the target can be obtained. Using this method, only the thickness and refractive index of the glass...
An optimal design method for generating a flight path passing through specified waypoints while satisfying the task points sent by the ground operators is proposed in this paper. Each specified waypoint is reached exactly at the specified location and time while intermediate waypoints are generated in such a way that they satisfy the task points, with highest benefit measure, i.e., satisfying tasks...
In this paper, two image quality metrics based on morphological multiscale decompositions have been applied for the evaluation of free viewpoint video sequences. These sequences are synthesized using decompressed depth maps in the Depth-Image-Based Rendering synthesis process. Since the synthesis introduces edge distortion in the synthesized image/video, morphological filters are used for their ability...
This paper assesses the accuracy with which a user's position can be computed using skyline information, that is, the shape of the sky observed looking upward from the user's location. Whereas this concept has been proposed in the past using wide field-of-view (i.e., fisheye) cameras, this study uses a narrower field-of-view camera that is more commonly available on mobile devices. For testing purposes,...
Large amounts of visual data are gathered from various surveillance systems across different places and times, and have to be processed in order to infer the current state of the world. One of the common problems in surveillance scenarios is person re-identification, the task of associating a person across different cameras. On the other hand, these scenarios raise privacy concerns, which lead to...
This paper introduces, and verifies the applicability of, a practical algorithm for creating 3D points clouds resembling objects, based on multiple RGB-D frames having been taken from different viewpoints, by the Kinect 2 camera. The experimental set-up is described, along with a certain variant of the process referred to as iterative closest point, being utilized for the latter purpose. Moreover,...
Recently, optical sensors have become a standard item in modern cars, raising questions with respect to the necessary testing under various ambient effects. In order to achieve a high test coverage of vision-based surround sensing systems, a lot of different environmental conditions need to be tested. Unfortunately, it is by far too time-consuming to build test sets of all relevant environmental conditions...
We present a classification framework to detect underwater terrain deformations commonly caused by marine species in real time during AUV surveys. The method uses two classifiers in a hierarchical manner to overcome the fact that there are no substantial datasets in the literature about underwater terrain and the creation of one would involve a great consumption of human and technological resources...
The methodology for finding the same individual in a network of cameras must deal with significant changes in appearance caused by variations in illumination, viewing angle and a person's pose. Re-identification requires solving two fundamental problems: (1) determining a distance measure between features extracted from different cameras that copes with illumination changes (metric learning); and...
In this paper, we propose a new approach for the person re-identification problem, discovering the correct matches for a query pedestrian image from a set of gallery images. It is well motivated by our observation that the overall complex inter-camera transformation, caused by the change of camera viewpoints, person poses and view illuminations, can be effectively modelled by a combination of many...
A modern smartphone is a convenient and capable tool for document capture. However, without proper enhancement, a casually taken digital photograph is likely to bear visual artifacts of its capture and offers limited utility as a document. Detection of quadrilateral document borders enables perspective correction and cropping, two critical tasks in the enhancement pipeline. This paper presents a method...
Modern smartphone display system come equipped with powerful GPU's capable of rendering advanced 2D and 3D graphics. These GPU's make up a significant portion of the system power profile due to the high resolution and framerate of smartphone display. These display features are selected during the design phase of a smartphone and correspond to the capabilities of the human visual system (HVS). However,...
During the process of image acquisition, images are often subject to out-of-focus or defocus blur because of the improper adjustment of the camera's focal length, this image blur will degrade the image quality. However, in the literature, image quality assessment (IQA) methods dedicated to evaluating the quality of images with out-of-focus blur remain few. Therefore, in this paper, we focus our attention...
Skills assessment in minimally invasive surgery (MIS) has been a challenge for training centers for long time. The emerging maturity of camera-based systems has the potential to transform solutions to problems in many areas, including MIS. The current assessment methods are mostly subjective or have limitations. In this work, we integrated and coordinated multiple camera sensors to work together to...
Camera based monitoring system has vital role in measuring deep hole parameters especially hole consists of long length and small diameter. The monitoring will help to eliminate errors in measuring deep hole parameters such as roundness, cylindricity etc. This paper proposed a camera based monitoring system for deep hole measurement. The camera is attached to the measurement head and rotates with...
Appearance-based person re-identification namely matching the same pedestrian across disjoint camera views, is an increasingly research spot. Researchers have proposed many complicated appearance descriptions. The role of basic visual features is seldom investigated, e.g. color, texture features, which are the basis of descriptions. By analyzing the characteristics of data environments, we can get...
Providing relevant information at the right time in the right place is the major challenge in augmented reality, especially when it is applied in industry related applications. Indeed, by superimposing virtual elements on images which capture the real scene, augmented reality has proved its potential and maturity for facilitating maintenance activities, especially in training, repairing or inspections...
Many different image stitching algorithms, and mechanisms to assess their quality have been proposed by different research groups in the past decade. However, a comparison across different stitching algorithms and evaluation mechanisms has not been performed before. Our objective is to recognize the best algorithm for panoramic image stitching. We measure the robustness of different algorithms by...
This paper presents PhotoCluster, a new technique for identifying non-identical near-duplicate images in personal photo collections. Contrary to existing methods, PhotoCluster estimates the probability that a pair of images may be considered near-duplicate. Its main thrust is a multiple clustering step that produces a non-binary near-duplicate probability for each image pair, which exhibits correlation...
In this work we propose an architecture for fully automated person re-identification in camera networks. Most works on re-identification operate with manually cropped images both for the gallery (training) and the probe (test) set. However, in a fully automated system, re-identification algorithms must work in series with person detection algorithms, whose output may contain false positives, detections...
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