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This paper is aimed at presenting a new virtual camera model which can efficiently model refraction through flat housings in underwater photography. The key idea is to employ a pixel-wise virtual focal length concept to encode the refractive projection inside the flat housing. The radially-symmetric structure of the varifocal length around the normal of the housing surface allows us to encode the...
This paper proposes a stereo calibration method using mirrored images that contain a camera and measurement objects. In stereo methods, the measurement accuracy can be seriously affected by rotational errors in the calibration between cameras. Our method performs the calibration by using the geometrical relationship between a reference point on the camera and the reference point in its mirrored image...
Recently, the 3D sensing technique using multiple cameras has been applied to various areas such as visualization, motion capturing, and so on. However, improvement of the camera model calibration is indispensible for more precise measurement. In this study, we propose a practicable fuzzy modeling approach for 3D sensing utilizing the configuration of the stereo vision. A distance between a sensing...
In this paper, we propose method to easily conduct the wheel alignment measurement by using Camera Calibration and Laser Triangulation. By taking advantage of laser projection which is ubiquitous in structured environments, our method makes it convenient for a mobile operation to collect the data needed for calibration. The proposed method estimates the relative position of the wheel by first determining...
Currently the research in binocular stereo vision area mainly focuses on camera calibration and stereo matching. For camera calibration, to estimate the camera's parameters is of vital very importance for acquiring better three-dimensional positioning reconstruction accuracy. This research investigates camera calibration parameters for a binocular stereo vision system and their effects on system reconstruction...
Recent advances in development of low-cost 3D sensors, such as Microsoft Kinect, bring attractive opportunities to robot system integrators. The accuracy provided by such sensors is generally unsatisfactory for many robotic applications, but it may be improved through calibration. This paper presents a calibration case study that is based on the sensor calibration procedure involving only a use of...
In this paper, we propose a practical approach for robust rectification of stereo camera setups without use of calibration pattern. Our solution simplifies the process to a non-general case of rectification to avoid explicit use of Fundamental Matrix estimation. The solution shows better or comparable robustness than some of recent solutions, but for much lower computational cost and code complexity.
In this paper, the key technologies of human motion reconstruction Based on multi-view video are discussed. A more robust motion reconstruction method with markers is presented, which includes camera calibration, markers extraction, markers tracking and 3D reconstruction. In the procedure of markers tracking, we propose a novel multi-view tracking algorithm. This algorithm is made up of two steps,...
To the limitations of the existing camera calibration methods, a new camera calibration method Based on laser ranging was presented. This method is to calculate the three dimensional coordinates of target point by use of the distance measured by laser ranging sensor, and extract laser spot from the acquired image with the spot of target point, and then calculate the sub-pixel coordinates of laser...
Camera calibration technique has important research and application value in the field of computer vision, and its precision directly affects the three-dimensional reconstruction effect. This paper elaborated the principles of the existing camera calibration methods: traditional camera calibration method, camera self-calibration method, and camera calibration method Based on active vision, and analyzed...
This paper introduces a vehicle detection method based on multi-scale active basis model in traffic surveillance systems. Due to the effects of perspective, vehicles which are close to the camera are larger and more detailed than the far ones on individual video frames. Using camera calibration, we get the multi-scale information of vehicles, and then we learn the multi-scale active basis model from...
It is an essential requirement to keep vehicles running along straight line on road for automobiles and it is also a key guarantee for traffic safety. However, because of certain errors during manufacture and assembly for automobile, there are some vehicles with big deflection lean to certain direction while running on flat road. To avoid vehicles with big deflection exceeding the limit offset coming...
In Augmented Reality systems, real time integrating 3D virtual objects into the real environment requires camera calibration techniques for spatial alignement. The accuracy of the parameters is then a crutial task for designing an effective Augmented Reality (AR) systems, and the challenge to meet this requirement is made harder when dealing with moving zoom-lens cameras. Although recent approaches...
This paper examines how to recognize the dynamic object and find its position using a real-time binocular visual image system, which describes contours of the object using edge detection algorithm. The system finds the object of image with shape matched method, which procedures include color segmentation of input image, finding the candidate area of matching color histogram, binary image morphologic...
This paper presents a GIS-centric computer vision system for tracking high-speed skaters in competition and training situations. This system outputs spatio-temporal trajectories that are analyzed through presented geometric, physical and power-based models in order to evaluate sports performance. Through spatial SQL and shared database access, the GIS enables the manipulation of the trajectories and...
The Lei's method is studied and analyzed from another angle in this paper. And this method is applied on the MOTOMAN-SV3X robot vision platform after being improved. Firstly, the mathematical model of the hand-eye vision positioning system is reformulized, in which the camera intrinsic parameters matrix and the hand-eye relation rotation matrix are combined into an integral parameters matrix which...
In the area of structured light system calibration, efforts have been made in improving the performance of an open loop system, which involves data acquisition, model establishment and model parameter identification. In this paper, we introduce a closed loop design concept for structured light system calibration. In addition to the commonly used circular control point based geometric calibration procedure,...
After the development of miniature computed tomography, the calibration is the first thing to do. In this paper, image processing was used for testing miniature CT. We got comprehended coordinates on a chessboard. Then entire data were computed by direct linear transform equation (DLT). DLT is famous equation for finding a real position of three-dimensional object form two-dimensional images in multi...
This work addresses the problem of people counting in crowded situations, such as urban environments, in computer vision. As crowding density increases in a scene, it might become impossible to count people as single individuals: a global group-based approach is then preferable and in fact often necessary. A simple method for estimating the count of people in such tight crowds is here proposed, relying...
This paper describes a target detection system on transport infrastructures, based on monocular vision, for applications in the framework of Intelligent Transportation Systems (ITS). Using structured elements of the image, a vanishing point extraction is proposed to obtain an automatic calibration of the camera, without any prior knowledge. This calibration provides an approximate size of the searched...
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