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It is difficult to implement camera calibration directly on the embedded platform which has limited capacity where there are a lot of image feature data to process and complex computation to execute during the camera calibration. A simple and efficient camera calibration method is proposed based on the camera imaging model, in which the relationships between the Euclidean three-dimensional points...
Sharpness is an important image quality attribute for projection displays. However, it has not been well studied for projection displays in the existing literature. In this paper, we conduct an experimental study of perceived sharpness on projection displays in a controlled environment. The basic idea is to simulate the optical blurring process with Gaussian filtering and apply them to selected natural...
Camera Calibration is a crucial task in computer vision. It aims to get internal and external parameters of camera from images. Currently, classical calibration techniques are widely used in measurement and monitor, especially the method proposed by Zhang Z.Y. In this paper, it is demonstrated that classical method is rather inaccurate in some certain conditions-different distance. Experiment results...
A vision calibration technique based on two states of static and motion was proposed for a vision-based automated guided vehicle. Firstly, intrinsic parameters, radial distortion parameters and external parameters were estimated using planar template in static scene, and then union model of correcting distortions was designed for three individual image distortion models. Finally, rotation and translation...
The existing calibration method used in the large-scale scene generally utilizes the perpendicular vanishing points formed by the structured information on the buildings in the scene. Aimed at meeting the situations that no vanishing points exist or the existing vanishing points deviate verticality to a small degree, a two-step calibration method is proposed in this paper. Firstly, we place two designed...
This paper proposes a human body targets tracking algorithm based on depth information under parallel binocular cameras. The key issue of pedestrian targets tracking in the parallel binocular cameras system is how to achieve the correspondence between the cameras. We get intrinsic and extrinsic parameters by camera calibration. Then, the foreground target region is got by Gaussian background difference...
Camera calibration is an essential step in vision-based vehicle speed measurement systems. In this paper, a simple, easy, and robust camera calibration method for vehicle speed measurement is proposed. First, the camera is installed at any position that can cover the desired traffic images. After that, an equilateral triangle is drawn on the ground within the view scene of the camera as a reference...
The camera calibration is a hot issue in the field of photogrammetry. A chessboard plane is introduced to simplify the difficulty of calibration. In this paper, first, corners of chessboard are detected by Harris. Then, geometrical relationships are calculated between image plane and the three-dimensional space. Finally, the intrinsic and external parameters of the camera are calibrated based on camera...
Literate programming is a concept initially conceived by Professor Donald Knuth who had applied it in practice while developing his TEX formatting system. In my integrated approach I advocate the concept of literate programming in a single book, i.e. all levels of a created application (including the descriptions of new algorithms) are joined together with all source codes in one PDF document, which...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system without explicitly identifying intrinsic or extrinsic camera parameters. Our method employs a tracked checkerboard to establish a number of correspondences between positions in color and depth camera space and in world space. These correspondences are used to construct...
We present an integrated approach for the calibration and registration of color and depth (RGBD) sensors into a joint coordinate system. Our application domain is 3D telepresence where users in front of a three-dimensional display need to be captured from all directions. The captured data is used to virtually reconstruct the group of people at a remote location. One key requirement of such applications...
Tracking of Underwater object has been a challenging task because of uncontrolled illumination condition. The problem is compounded due to the movement of both camera and object. In this paper, we address this incomplete data problem while simultaneously estimating the camera position and image labels. This has been achieved using Expectation Maximization (EM) algorithm and Extended Markov Random...
The paper presents a unified framework that aims at stabilization of real time images captured from a photosensitive sensor mounted on any mobile platform. Typically the real time images obtained from a mobile platform are prone to suffer from unwanted stray noise, presence of jitter, camera distortions which lead to suppression of finer details and thus make extraction of required information about...
The projector is a projection equipment while the camera is a optical receiver. Hence, the camera can project three dimensional calibration points to an image, but it is difficult that the projector grabs the three dimensional calibration points. Therefore, it is necessary to devise obtaining the calibration points to calibrate the projector.
Unmanned aerial vehicles (UAVs) have many applications and quickly gain popularity with the availability of low-cost micro aerial vehicles (MAVs). Robotics is a popular interdisciplinary education target as it involves understanding and collaboration of several disciplines. Thus, UAVs can serve as an ideal study platform. However, as robotics requires technical background, skills and initial efforts,...
Multi-camera tracking is quite different from single camera tracking in mathematical principles and application scenarios, and it faces new technology and system architecture challenges. The existing theories and algorithms used in object matching, cameras calibration and topology estimation, and information fusion have been reviewed and show that the integrated application of multi techniques and...
In this work, we present a novel method to accurately calibrate active depth sensors such as the Microsoft Kinect. Our approach is based on the Gaussian Process Regression (GPR). It is applied after the standard calibration and it is particularly useful for the aging depth cameras. The latter, were proven to suffer from inaccuracies that cannot be fixed with the standard pinhole camera calibration...
Stereovision is the process of finding depth when multiple images of a scene are known from distinct positions. It is the basic phenomena in the construction of 3D from multiple images. Stereo vision is useful in many applications such as robotics, tracking object in 3D space and constructing a 3D model of a scene. Vision based remote control system exploits stereo vision to control the machine in...
The vision system is the key to the process of soccer robot competitions. While the key to the vision system is the camera which offers all the information related to the environment in the competition process. Therefore how to ensure the truth and accuracy of the pictures taken in by the camera is essential to the vision system of soccer robots. Based on the competition rules of RoboCup Small Size...
This paper presents a unique system specifically made to capture and create image mosaics of flat, wide, and shallow coral reefs at the Tubbataha Reefs Natural Park to assist in the rapid assessment of the reef scars caused by the grounding of the USS Guardian last January 17, 2013. This system is composed of an array of underwater cameras coupled with a GPS and depth logging device, and a mosaicking...
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