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In this paper, we propose an efficient framework for reducing noise and holes in depth map captured with an RGB-D camera. This is performed by applying plane fitting to the groups of points assimilable to planar structures and filtering the curved surface points. We present a new method for finding global planar structures in a 3D scene by combining superpixel segmentation and graph component labeling...
This document describes a proof of concept for a new approach for next generation wheel alignment systems. We propose to measure the relevant angels with Kohonen self organizing networks from an image of a heavy precision camera, instead of a projecting system clamped on the wheel. This has the clear advantage, that we do not need to attach a specially designed clamp which holds on to a wheel with...
Many applications require the use of multiple cameras to cover a large volume. In this paper, we evaluate several pairwise calibration techniques dedicated to multiple range cameras. We compare the precision of a self-calibration technique based on the movement in front of the cameras to object based calibration. While the self-calibration technique is less precise than its counterparts, it yields...
In this paper, we propose a new visual inspection method that can analyze the exterior surface of rubber tires with the light stripe projection. Image sensing of the tire surface was implemented by setting the tire on the rotating table so that the normal pattern of the tire surface could be suppressed. The proposed method detects the exterior thin defect after removing three kinds of uneven circularities...
Analysis of crowd behaviour in public places is an indispensable tool for video surveillance. Automated detection of anomalous crowd behaviour is a critical problem with the increase in human population. Anomalous events may include a person loitering about a place for unusual amounts of time; people running and causing panic; the size of a group of people growing over time etc. In this work, to detect...
An approach is suggested for automating fish identification and measurement using stereo Baited Remote Underwater Video footage. Simple methods for identifying fish are not sufficient for measurement, since the snout and tail points must be found, and the stereo data should be incorporated to find a true measurement. We present a modular framework that ties together various approaches in order to...
The electronic cluster eye (eCley) is a new artificial compound eye with some prominent properties of high resolution, miniature volume, and large field of view. Although having the potential capability of obtaining the depth information, the limitation of the short focal length and tiny volume of the eCley still confine the conventional stereo matching algorithms to determine the distances of objects...
Today, the diseases are being treated with less invasive and more sophisticated, technology-oriented methods. The diagnostic tools that were usually used in the hospitals have become available at our homes. Within the heart of this new generation health-care systems, CMOS technology lies with its high capability of integration, low power consumption, and low cost. Within this context, CMOS image sensors...
This paper describes design considerations for acquiring improved performance on a new type of display system for regenerating three-dimensional images with an invisible high-frequency code pattern whose attribute depends on the depth of object. Three-dimensional images to be demonstrated on the new 3D image display system will be generated in the following 3 steps: That is; firstly embedding data...
Self-calibration based on rotating cameras is a classical technique for recovering internal parameters which ensures that the camera motion is pure rotation and does not permit translation. In practice, however, it is hard to exactly keep the camera not to translate. Previous studies on this issue are mainly qualitative and less operable for practice applications. In this paper, we experimentally...
In this work we present a novel framework for the real-time interaction with 3D models in augmented virtual reality. Our framework incorporates view-dependent stereoscopic rendering of the reconstructed environment together with user's hands and a virtual object, and high-precision gesture recognition to manipulate it. Proposed setup consists of a Creative RGB-D camera, Oculus Rift VR head mounted...
Recently, autonomous robots have been widely used in the production field. There are several advantages to introducing industrial robots in factories. However, these robots cannot be used in unknown environments because most of them are controlled by sequence controls. Two cameras are used as vision sensors that can recognize the outside environment to solve this problem. In this study, we aim at...
Multi-frame super-resolution brings out much potential to reconstruct real high-resolution video sequences. This potential is achieved based on its capacity to combine missing information from different input low-resolution frames. Although there have been many studies in recent decades, super-resolution problems for real-world video processing still have many challenges. This is dues to two problems...
Reliable knowledge of position and orientation is a prerequisite for many applications regarding unmanned navigation, mapping, or environmental modeling. GNSS-aided inertial navigation is the preferred solution for outdoor applications with the well-known weaknesses and limitations. In order to overcome these, alternative technologies have to be investigated and developed. Therefore a stereo-vision-aided...
Depth from Defocus (DFD) is known as the technology which is able to estimate depth in the scene by a monocular camera without any additive devices. Using this advantage of DFD, we improved the speed of Auto Focus (AF). To apply DFD to AF, it is necessary to capture 2 images that have a small amount of “difference in focal positions” (we call DiFP). In this paper, we show the performance of the depth...
In this article, we address the pose estimation for planar motion under the framework of generalized camera models. We assume the knowledge of the coordinates of 3D straight lines in the world coordinate system. Pose is estimated using the images of the 3D lines. This approach does not require the determination of correspondences between pixels and 3D world points. Instead, and for each pixel, it...
We report on developments of the camera for 590 GHz radiation which has been stitched from four 12×12 antenna-coupled field-effect transistor detector (TeraFET) arrays and supplemented with parallelized low noise read-out electronics. In the current state, the read-out speed of 740 frames-per-second (fps) for a 12×12 element segment has been achieved. It is anticipated that in the final state the...
This paper reports on the design and performance of a terahertz (THz) linear camera with 50 pW/√Hz noise-equivalent power (NEP). This camera is sensitive to four bands of vertically and horizontally polarized THz radiation (0.22, 0.32, 0.42, and 0.52 THz). The heart of the camera is a diode-based focal plane array (FPA) that has a 10 nV thermal noise level and 1–2 kV/W sensitivity across the four...
Automatic recognition of handwritten texts in video lectures has important applications. In video lectures, the presenter usually writes on white / colored board. The video camera often captures the writing board along with certain other objects possibly including the presenter itself. Recognition of handwritten texts from such a video frame requires prior detection of the region of texts in the frame...
This paper discusses the problem of planning well conditioned trajectories for learning a class of nonlinear models such as the imaging model of a camera and the multibody dynamic model of a robot. In such model learning problems, the model parameters can be linearly decoupled from system variables in the feature space. The learning accuracy and robustness against measurement noise and unmodeled response...
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