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Virtual Reality (VR) has as goal the creation of digital three dimensional environments to run in real time interactive and realistic experiences. The experiences can be augmented by the use of haptic systems, able to provide sense of touch in virtual objects. The anesthesia procedure is present in all surgeries to keep stable the patient physiology. The use of VR based simulators for anesthesia training...
Leap Motion is a device that turns hands and fingers into input devices, it is possible to control the computer by replacing the mouse and / or keyboard. The Laboratory of Educational, Auxiliary and Multimedia Technologies of the Federal University of Rio Grande do Norte develops prototype gloves and virtual games, that are used in rehabilitation sessions for people who have suffered a stroke. The...
Augmented Reality (AR) has become a popular technology for both the public and industries. Serious Games (SG) incorporating pedagogical elements for learning, training, or inform. The creation of SG can use AR techniques for their development, with the prospect of new possibilities due to this integration. A Systematic Literature Mapping (SLM) allows a synthesized view of research carried out in the...
The use of smartphones for activities like watching movies and playing games has become commonplace because of the flexibility that devices offer citizens in their increasingly overloaded daily routines. As a consequence, the market has explored the creation of accessories to enhance the user experience in performing these tasks. The present work selected as context the practice of watching movies...
Human motion capture systems are being increasingly studied in the area of computer vision and also by major entertainment industries. These systems are able to track the position and orientation of joints of the body and its trajectory in space over a period of time. They are used in various applications such as digital games, animation of virtual characters for film and television, gesture recognition,...
Analytics is a well-known form of capturing information about the user behavior of an application. Augmented reality applications deal with specific data such as the camera pose, not being supported by popular analytics frameworks. To fill such gap, this work proposes an analytics framework solution for augmented reality applications. It supports both marker-based and markerless augmented reality...
In this work, we present a network architecture to solve a supervised learning problem, the classification of a handwritten dataset, and a reinforcement learning problem, a complex First-Person Shooter 3D game environment. We used a Deep Neural Network model to solve both problems. For classification, we used a Softmax regression and cross entropy loss to train the network. To play the game, we used...
This paper introduces SONA (Spatiotemporal system Organized for Natural Analysis), a tabletop and tangible controller system for exploring geotagged information, and more specifically, CCTV. SONA's goal is to support a more natural method of interacting with data. Our new interactions are placed in the context of a physical security environment, closed circuit television (CCTV). We present a three-layered...
We present HoloBee, a system for visual analytics of bee drift data using a head-mounted augmented reality interface (Microsoft HoloLens). HoloBee facilitates interactive manipulation and exploration of the bee activity data on 3D geo- spatial terrains to gain insights into the drifting behaviour of honey bees in their natural habitat. We conducted a user study to compare the task performance and...
At present, brain tumor segmentation from 3D MRI data has become much popular in biomedical instrumentation. Various automatic and semi-automatic methods have been developed for this purpose but with huge computational burden due to the enormous volume of 3D data. Therefore, an effective automatic approach for detecting a tentative Region of Interest (ROI), in which the presence of tumor is guaranteed,...
Cardiac auscultation allows diagnosing the heart by listening to its sounds. Current cardiac auscultation training is seeing a preference towards diagnostics equipment such as the echocardiograph that allows visualizing and listening to the heart to determine how the heart is working, rather than the use of the stethoscope which only provides auditory feedback, resulting in a loss of stethoscope-based...
This paper presents a new calibration method for lenslet-based plenoptic cameras. While most existing approaches require the computation of sub-aperture images or depth maps which quality depends on some calibration parameters, the proposed process uses the raw image directly. We detect micro-images containing checkerboard corners and use a pattern registration method to estimate their positions with...
Automated segmentation of intracranial arteries on magnetic resonance angiography (MRA) allows for quantification of cerebrovascular features, which provides tools for understanding aging and pathophysiological adaptations of the cerebrovascular system. Using a convolutional autoencoder (CAE) for segmentation is promising as it takes advantage of the autoencoder structure in effective noise reduction...
We present improved methodology for prediction of medium and large sized RNA three dimensional structures, based on comparative modeling approach. Method is enriched by the prediction of secondary structure, which is then used in tertiary structure prediction.
In recent years there has been a growing interest in studying biologically-inspired models for localization that can cope with the stochasticity of natural environments. Most of the works available have considered 2D navigation tasks in static and structured environments, such as the lab maze or the corridors of a building. Reactive navigation is usually employed, so the robot avoids colliding the...
This article proposes a method for sensor calibration and obstacle detection in urban environments. The radar and 3D LIDAR were calibrated with relation to a stereo camera. Data from the radar, 3D LIDAR and stereo camera sensors were fused for the detection of obstacles and determination of their shapes. The data collected using both camera and 3D LIDAR are a point cloud that is segmented taking the...
This article describes the design and process of a 3D Mini Camera Lens to be utilised in multi-purpose 3D stereo reconstruction on computers, mobile devices and robots. It can also be useful for various tasks including demonstration, knowledge-sharing, online programming, database sharing, results comparison in the stereo vision research community, and recreation used by non-specialists. In contrast...
Compact heat exchangers are the devices that allow having larger surface area density which is provided by the enlargement of the fins. Frequently plate fins are chosen to achieve this and several forms of this fin types are used in several applications such as rectangular plain fin offset strip fin, wavy fin, louvered and perforated fins. In this particular work, the effect of the fins on the performance...
The presentation describes the progress made in the first two years of operation on technical goals, operational framework, and opportunities for the broader photonics community. The institute is providing a turn key capability to industrial customers with a primary focus on SMEs, universities and government agencies.
With the aim of providing a fast and effective segmentation method based on the flood-fill algorithm, in this study, we propose a new approach to segment a 3D point cloud gained by a 3D multi-channel laser range sensor into different objects. First, we divide the point cloud into two groups: ground and nonground points. Next, we segment clusters in each scanline dataset from the group of nonground...
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