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Záznamy kolekce (řazeno podle Datum zaslání v sestupně pořadí): 21 až 38 z 38
Scheer, Fabian , Loos, Moritz , Neumann, Markus
Model-based tracking on conveyor belts: Evaluation and practical results in the automotive industry

Model based tracking (MBT) of painted cars in the automotive mass production on conveyor belts with robots is a challenging task. Manydisturbing sources that have an impact on the MBTexist, like the influence of the localized work&#x...

Sommer, Alexander , Schwanecke, Ulrich
LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations

We present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs ofparticle-based simulation. We describe the surface and volume sampling algorithms used in LEAVENin a beginner-friendlyfashion. Furthermore, we describe a novel method of gen...

Kaczmarek, Adam L. , Lebiedź, Jacek , Jaroszewicz, Jakub , Swieszkowski, Wojciech
3D Scanning of Semitransparent Amber with and without Inclusions

This paper is concerned with making 3D scans of semitransparent ambers with and without inclusions. The paper presents results of using a variety of devices applied for this purpose. Equipment used in the experiments includes a 3D laser scanner, a structured light scanner, a s...

Mieloch, Dawid , Klóska, Dominika , Woźniak, Magdalena
Point-to-Block Matching in Depth Estimation

In this paper, the novel correspondence search method called point-to-block matching was proposed. Recently, in many proposed multimedia systems, depth estimation is performed on compressed input views. To address this problem and increase the quality of such depth maps, in the proposa...

Velazquez, Eric Marin , Semwal, Sudhanshu
Using Autonomous Drone Interactions towards MobilePersonal Spaces for Indoor Environments

We propose an extension of a recent work using convo-lutional neural networks and drones, such as Learning tofly by using DroNet [8] that can possibly safely drive adrone autonomously. The combination of (i) the DroNetarchitecture and weights to apply to CNNs to avoid thecrashes;&#...

Tirado, Guilleum Budia , Semwal, Sudhanshu
Autonomous Parking Spot Detection System for Mobile Phones using Drones and Deep Learning

Many parking lot facilities suffer from capacity over-loads and many times there are no monitoring tools toprovide feedback. As a consequence, the people, want-ing to park, become frustrated as there is considerablyloss of time. In this paper, we present a novel proto-type o...

Kurasova, Olga , Marcinkevičius, Virginijus , Mikulskienė, Birutė
Enhanced Visualization of Customized Manufacturing Data

Recently, customized manufacturing is gaining much momentum. Consumers do not want mass-produced products but are looking for unique and exclusive ones. It is especially evident in the furniture industry. As it is necessary to set an individual price for each individually manufactured p...

Harris, Mark Wesley , Semwal, Sudhanshu
Deep Rendering Graphics Pipeline

The graphics rendering pipeline is key to generating realistic images, and is a vital process of computational design,modeling, games, and animation. Perhaps the largest limiting factor of rendering is time; the processing requiredfor each pixel inevitably slows down rendering and produces&...

Martinez, Swann , Chen, Chu-Yin
A Framework Enabling Real-time Multi-user Collaborative Workflow in 3D Digital Content Creation Software

This paper reports on a graph-based approach to enable real-time update of 3D shared elements over the networkbetween multiple artists working simultaneously on the same 3D scene. It presents an experimental framework forexploring real-time collaboration in Digital Content Creation such as a...

Del Gallego, Neil Patrick , Viaje, Cedric Lance , Gerra-Clarin, Michael Ryan , Roque, John Marvic , Non, Gary Steven , Martinez, Jesin Jarod , Gana, Jose Antonio
A Mobile Augmented Reality Application For Simulating Claude Monet’s Impressionistic Art Style

In this study, we showcase a mobileaugmented reality application where a user places various 3D models in atabletop scene. The scene is captured and then rendered as Claude Monet’s impressionistic art style. One possibleuse case for this application is to demonstrate the behavior o...

Junayed, Masum Shah , Anjum, Nipa , Noman, Abu , Islam, Baharul
A Deep CNN Model for Skin Cancer Detection and Classification

Skin cancer is one of the most dangerous types of cancers that affect millions of people every year. The detection ofskin cancer in the early stages is an expensive and challenging process. In recent studies, machine learning-basedmethods help dermatologists in classifying medical image...

Kavaz, Ecem , Puig, Anna , Rodriguez, Inmaculada , Taule, Mariona , Nofre, Montserrat
Data Visualization for Supporting Linguists in the Analysis of Toxic Messages

The goal of this research is to provide linguists with visualisations for analysing the results of their hate speechannotation. These visualisations consist of a set of interactive graphs for analysing the global distribution ofannotated messages, finding relationships between features, and ...

Vazquez, I. , Cutchin, S.
An Analysis on Pixel Redundancy Structure in Equirectangular Images

360◦photogrammetry captures the surrounding light from a central point. To process and transmit these types ofimages over the network to the end user, the most common approach is to project them onto a 2D image usingthe equirectangular projection to generate a 360◦image. However,&...

Zettler, Nico , Mastmeyer, Andre
Comparison of 2D vs. 3D Unet Organ Segmentation in abdominal 3D CT images

A two-step concept for 3D segmentation on 5 abdominal organs inside volumetric CT images is presented. Firsteach relevant organ’s volume of interest is extracted as bounding box. The extracted volume acts as input for asecond stage, wherein two compared U-Nets with different ...

Miller, Markus , Nischwitz, Alfred , Westermann, Rüdiger
Deep Light Direction Reconstruction from single RGB images

In augmented reality applications, consistent illumination between virtual and real objects is important for creatingan immersive user experience. Consistent illumination can be achieved by appropriate parameterisation of thevirtual illumination model, that is consistent with real-world lighting conditio...

Müller, Simone , Kranzlmüller, Dieter
Dynamic Sensor Matching for Parallel Point Cloud Data Acquisition

Based on depth perception of individual stereo cameras, spatial structures can be derived as point clouds. Thequality of such three-dimensional data is technically restricted by sensor limitations, latency of recording, andinsufficient object reconstructions caused by surfa...

Pointner, Andreas , Praschl, Christoph , Krauss, Oliver , Schuler, Andreas , Helm, Emmanuel , Zwettler, Gerald
Line Clustering and Contour Extraction in the Context of 2D Building Plans

For the purpose of analyzing a building according to its accessibility or structural resilience, printed 2D floorplans are not sufficient because of the missing link to semantic information. This paper tackles this issue and...

Borkowski, Dariusz , Janczak-Borkowska, Katarzyna
Reduction of JPEG Artifacts using BSDEs

In this paper we propose a novel approach for reduction of JPEG artifacts using advanced techniques of stochasticcalculus. In order to solve this problem we use backward stochastic differential equations (in short BSDEs) andthe non local means method. In our algorithm we con...

Záznamy kolekce (řazeno podle Datum zaslání v sestupně pořadí): 21 až 38 z 38