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Content-based image retrieval (CBIR) is an interesting but difficult topic of research. It uses the visual features to achieve the image searching on database. In this paper, we propose an image indexing for CBIR based on color feature, which consider both the computational complexity and the spatial relationship. We use a 3D mathematical model to design the color codebook and exploit the feature...
Real-time face detection combined with eye-gaze tracking and face analysis can provide a new means of user input in a gaming environment. Game designers can use facial information in various ways in designing the user interface (UI) and to provide smarter modes of interaction with players.
Human pose estimation from monocular image sequences is attracting increasing attention, and 2D (image-based) as well as 3D (joint-motion based) approaches have been proposed. The former is computationally fast, and works also for less frequent poses, but reliability is low. The latter is computationally expensive owing to the high-dimensionality of the problem, despite attempts at dimensionality-reduction...
We propose a method for learning shape models enabling accurate articulated human pose estimation from a single image. Where previous work has typically employed simple geometric models of human limbs e.g. cylinders which lead to rectangular projections, we propose to learn a generative model of limb shape which can capture the wide variation in shape due to varying anatomy and pose. The model is...
Accurate determination of gestational age is fundamental to fetal growth assessment, either clinically or by ultrasound evaluation. The antenatal measurement of the fetal biparietal diameter (BPD) by ultrasound has been used to predict fetal gestational age. The performance of conventional two-dimensional (2D) ultrasonograhpy (US) measurement and proposed Visualization toolkit, VTK programmable interactive...
The calibration of optical see-through head-mounted displays is an important fundament for correct object alignment in augmented reality. Any calibration process for OSTHMDs requires users to align 2D points in screen space with 3D points in the real world and to confirm each alignment. In this poster, we present the results of our empiric evaluation where we compared four confirmation methods: Keyboard,...
Synthetic Vision Systems (SVS) provide a computer-generated depiction of the environment according to aircraft flight path and attitude. In the case of Remotely-Piloted Aircraft (RPA), SVS improve dramatically operator situation awareness under reduced visibility conditions due to environment related issues and/or video data link degradation. Even though at their definition NextGen/SESAR frameworks...
Self-localization in large environments is a vital task for accurately registered information visualization in outdoor Augmented Reality (AR) applications. In this work, we present a system for self-localization on mobile phones using a GPS prior and an online-generated panoramic view of the user's environment. The approach is suitable for executing entirely on current generation mobile devices, such...
In this paper, a methodology of employing a set of uniform circular arrays to localize the 3D position of a target in sensor networks is presented and the theoretical framework is given. Simulation results demonstrate the validity of the method and illustrate the effect of the element pattern on the accuracy of direction of arrival (DoA) estimation and positioning. A weighted least squares method...
A CT-scan is a vital tool for the diagnosis of lung cancer via tumor detection. Developing a classifier to make use of the information in CT-scan images could provide a non-invasive alternative to histopathological techniques such as needle biopsy to identify tumor types. Image features extracted from 74 lung tumor objects of CT-scan images are used in classifying tumor types. Classification is done...
Autonomous navigation for vehicles in non-trivial environments requires fast and precise localisation. Autonomous vehicles typically operate in 3D environments and require 6DOF localisation, which is computationally costly. We have developed fast, accurate localisation by constraining the 6DOF search space by physical vehicle limitations, and by the use of Graphics Processing Units (GPU's) to enable...
Self-localization in large environments is a vital task for accurately registered information visualization in outdoor Augmented Reality (AR) applications. In this work, we present a system for self-localization on mobile phones using a GPS prior and an online-generated panoramic view of the user's environment. The approach is suitable for executing entirely on current generation mobile devices, such...
A function to find objects and to estimate their 6D poses(x, y, z, pitch, yaw, roll) is crucial for a home service robot that works in human living environment. If a robot obtains 6D poses of target object, it can bring to that and use as tools.
In this paper, a novel topological structured pattern, dubbed a spiral facet, is proposed and applied for the encoding and alignment of 3D facial triangular mesh surfaces. After describing the foundation of this representation, we present two direct face alignment methods, that exploit the ordered structure of the spiral facet in addressing the correspondence problem. We study the behavior and the...
This paper presents an approach to reconstruct instruments with marks. Based on the traditional 3-D reconstruction of single point, we propose a method that reconstructing the marks of the surgery instruments collectively to gain a high positioning accuracy. We match the 2-D projection points, by which the traditional 3-D reconstruction method is used to obtain a rough estimation of the marks' 3-D...
The calibration of optical see-through head-mounted displays is an important fundament for correct object alignment in augmented reality. Any calibration process for OSTHMDs requires users to align 2D points in screen space with 3D points in the real world and to confirm each alignment. In this poster, we present the results of our empiric evaluation where we compared four confirmation methods: Keyboard,...
This work addresses the localization of 11 prominent facial landmarks in 3D by fitting state of the art shape models to 2D data. Quantitative results are provided for 34 scan sat high resolution (texture maps of 10 M-pixels) in terms of accuracy (with respect to manual measurements) and precision(repeatability on different images from the same individual). We obtain an average accuracy of approximately...
This paper presents an embedded vision system based on reconfigurable hardware (FPGA) and two CMOS cameras to perform stereo image processing and 3D mapping for autonomous navigation. We propose an EKF based visual SLAM and sparse feature detectors to achieve 6D localization of the vehicle in non flat scenarios. The system can operate regardless of the odometry information from the vehicle since visual...
The sense of touch is essential to perform discriminating tasks in virtual reality applications or virtual training systems. To discriminate between different virtual objects, a human operator needs to clearly perceive the stiffness of each object. Stiffness is not only a material property, but also a characteristic of the particular object and express how it is being touched. Stiffness affects the...
The increasing number of ICP variants leads to an explosion of algorithms and parameters. This renders difficult the selection of the appropriate combination for a given application. In this paper, we propose a state-of-the-art, modular, and efficient implementation of an ICP library. We took advantage of the recent availability of fast depth cameras to demonstrate one application example: a 3D pose...
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