scholarly journals Content Adaptation and Depth Perception in an Affordable Multi-View Display

2020 ◽  
Vol 10 (20) ◽  
pp. 7357
Author(s):  
Iñigo Ezcurdia ◽  
Adriana Arregui ◽  
Oscar Ardaiz ◽  
Amalia Ortiz ◽  
Asier Marzo
Keyword(s):  
Depth Perception ◽  
Light Field ◽  
User Study ◽  
Transmitted Light ◽  
Content Adaptation ◽  
Technical Study ◽  
The One ◽  
2D Images

We present SliceView, a simple and inexpensive multi-view display made with multiple parallel translucent sheets that sit on top of a regular monitor; each sheet reflects different 2D images that are perceived cumulatively. A technical study is performed on the reflected and transmitted light for sheets of different thicknesses. A user study compares SliceView with a commercial light-field display (LookingGlass) regarding the perception of information at multiple depths. More importantly, we present automatic adaptations of existing content to SliceView: 2D layered graphics such as retro-games or painting tools, movies and subtitles, and regular 3D scenes with multiple clipping z-planes. We show that it is possible to create an inexpensive multi-view display and automatically adapt content for it; moreover, the depth perception on some tasks is superior to the one obtained in a commercial light-field display. We hope that this work stimulates more research and applications with multi-view displays.

How to Ensure a Good Depth Perception on a Light Field Display

2021 ◽  
Vol 130 (9) ◽  
pp. 60-70
Author(s):  
Didier Doyen ◽  
Valerie Allie ◽  
Arno Schubert
Keyword(s):  
Depth Perception ◽  
Light Field

scholarly journals NARROW FIELD-OF-VIEW VISUAL ODOMETRY BASED ON A FOCUSED PLENOPTIC CAMERA

2015 ◽  
Vol II-3/W4 ◽  
pp. 285-292 ◽  
Author(s):  
N. Zeller ◽  
F. Quint ◽  
U. Stilla
Keyword(s):  
Light Field ◽  
Visual Odometry ◽  
Field Of View ◽  
Depth Information ◽  
Depth Data ◽  
Novel Approach ◽  
Plenoptic Camera ◽  
Field Information ◽  
Slam Algorithm ◽  
The One

In this article we present a new method for visual odometry based on a focused plenoptic camera. This method fuses the depth data gained by a monocular Simultaneous Localization and Mapping (SLAM) algorithm and the one received from a focused plenoptic camera. Our algorithm uses the depth data and the totally focused images supplied by the plenoptic camera to run a real-time semi-dense direct SLAM algorithm. Based on this combined approach, the scale ambiguity of a monocular SLAM system can be overcome. Furthermore, the additional light-field information highly improves the tracking capabilities of the algorithm. Thus, visual odometry even for narrow field of view (FOV) cameras is possible. We show that not only tracking profits from the additional light-field information. By accumulating the depth information over multiple tracked images, also the depth accuracy of the focused plenoptic camera can be highly improved. This novel approach improves the depth error by one order of magnitude compared to the one received from a single light-field image.

scholarly journals Performing Arts And Limitation As A Motive

2020 ◽  
Vol 10 (2) ◽  
pp. 7-18
Author(s):  
Ion Mircioagă
Keyword(s):  
Performing Arts ◽  
The Other ◽  
The Internet ◽  
States Of Mind ◽  
Formal Treatment ◽  
Total Absence ◽  
National Theater ◽  
The One ◽  
2D Images

AbstractTwo categories of limitations are identified in the performing arts: physical, on the one hand, and those related to the intellectual and emotional predispositions of artists, on the other. Physical boundaries, in turn, are divided into material barriers - for example, the type of performing space and its dimensions - and the constraints generated by the anatomy and morphology of each artist. The experience had at the Vasile Alecsandri National Theater, in Iaşi, is evoked, while insisting on the importance of the actors’ abilities to go through the different states of mind that accompany various ages of man. The discussion of limitations involves the discussion of the new. The contribution of new stage technologies to the evolution of theater is recorded. It is briefly described, in context, the experience facilitated by the show Planet of Lost Dreams, in order to advocate for the avoidance of the unwarranted use of means such as video projections, the Internet, etc. The challenges posed by the mix of 3D and 2D images are noted. The view is advanced that the total absence of limitations, as well as their formal treatment can block the development of the theater.

scholarly journals MENINGKATKAN MOTIVASI DAN PENCAPAIAN HASIL BELAJAR MAHASISWA DALAM MATAKULIAH BAHASA INGGRIS TEKNIK

2007 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
Jufrizal Jufrizal ◽  
Elisna Elisna
Keyword(s):  
Action Research ◽  
Learning Process ◽  
Teaching Method ◽  
Electrical Engineering ◽  
Study Programs ◽  
Technical Study ◽  
The One ◽  
Teaching Learning ◽  
Academic Year ◽  
English Subject

The lack of motivation and result of teaching-learning process obtained by the students are the problems faced by technical study programs, including the one at the Faculty of Engineering of Universitas Negeri Padang. This paper discusses the actions done through classroom action research as the attempt to raise the students’ motivation and the result of teaching learning process. The object of the research was the students of D3 regular program of electrical engineering in the academic year of 2005/2006. The result of the research shows that a set of actions, namely: (i) attracting the students to discuss the nature of Technical English subject; (ii) improving and correcting the students’ attitude and perception towards Technical English subject; (iii) applying teaching method and techniques based on natural-constructivism approach; (iv) varying techniques and materials of teaching; (v) using modern equipments, materials, instruments, and facilities effectively, could raise the students’ motivation and their result of teaching-learning process of Technical English subject.

scholarly journals “Attention! A Door Could Open.”—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards

2021 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Tamara von Sawitzky ◽  
Thomas Grauschopf ◽  
Andreas Riener
Keyword(s):  
Traffic Accidents ◽  
User Study ◽  
Road Traffic ◽  
Lateral Position ◽  
Ease Of Use ◽  
Potential Hazard ◽  
Perceived Safety ◽  
Visual Message ◽  
Voice Message ◽  
The One

Numerous statistics show that cyclists are often involved in road traffic accidents, often with serious outcomes. One potential hazard of cycling, especially in cities, is “dooring”—passing parked vehicles that still have occupants inside. These occupants could open the vehicle door unexpectedly in the cyclist’s path—requiring a quick evasive response by the cyclist to avoid a collision. Dooring can be very poorly anticipated; as a possible solution, we propose in this work a system that notifies the cyclist of opening doors based on a networked intelligent transportation infrastructure. In a user study with a bicycle simulator (N = 24), we examined the effects of three user interface designs compared to a baseline (no notifications) on cycling behavior (speed and lateral position), perceived safety, and ease of use. Awareness messages (either visual message, visual message + auditory icon, or visual + voice message) were displayed on a smart bicycle helmet at different times before passing a parked, still-occupied vehicle. Our participants found the notifications of potential hazards very easy to understand and appealing and felt that the alerts could help them navigate traffic more safely. Those concepts that (additionally) used auditory icons or voice messages were preferred. In addition, the lateral distance increased significantly when a potentially opening door was indicated. In these situations, cyclists were able to safely pass the parked vehicle without braking. In summary, we are convinced that notification systems, such as the one presented here, are an important component for increasing road safety, especially for vulnerable road users.

scholarly journals Image Segmentation for Reflected-Light Microscopy: Some Theoretical Approaches

2021 ◽  
Vol 906 (1) ◽  
pp. 012121
Author(s):  
Stefano Pagnotta ◽  
Andrea Aquino ◽  
Marco Lezzerini
Keyword(s):  
Image Segmentation ◽  
Light Microscopy ◽  
Urban Environment ◽  
Maximum Size ◽  
Transmitted Light ◽  
Minimal Sample ◽  
Theoretical Approaches ◽  
Reflected Light ◽  
Pass Through ◽  
The One

Abstract Often when we approach the study of lithologies coming from the urban environment, but in general, even from any other environment, be it a quarry, a mine, an outcrop of our interest, the first study we carry out is the one in reflected-light optical-microscopy. Reflected-light microscopy in respect to transmitted-light microscopy requires minimal sample preparation, having to polish a single surface and without the need to thin the samples to allow light to pass through them. It may be useful, already in the first analysis, to try to produce quantitative data on what we are observing. A further advantage of reflected light in an urban environment is that of being able to observe and describe the formation or interaction between opaque minerals and the environment. Information that we lose by passing directly to the transmitted light. The information that can be useful to us and that we can obtain are the relative porosity of the sample, the texture (when easily recognizable in reflected light), the maximum size and shape of the edges of the grains. To all this is added the relationship between the areas of the different crystallites identified and the possible background mass, which cannot be solved on the observation scale. When we are dealing with many samples, we do not always have the time to be able to study individually sample by sample through images, so we resort to the use of image analysis tools for image segmentation and analysis. Among these, the main thresholding method with the Otsu method, the segmentation with the k averages algorithm, and, finally, a neural network of the SOM type. In this short work, we will review the main methods of image segmentation plus an innovative method developed by our group, highlighting its strengths and weaknesses.

scholarly journals Intelligent Generation of Storylines for Immersive Point and Click Games

2021 ◽  
Vol 2 (1) ◽  
pp. 1-19
Author(s):  
Federico Maria Cau ◽  
Angelo Mereu ◽  
Lucio Davide Spano
Keyword(s):  
Neural Networks ◽  
User Interface ◽  
User Study ◽  
End User ◽  
Intelligent Support ◽  
User Friendly ◽  
2D Images ◽  
The Web

In this paper, we present an intelligent support End-User Developers (EUDevs) in creating plot lines for Point and Click games on the web. We introduce a story generator and the associated user interface, which help the EUDev in defining the game plot starting from the images providing the game setting. In particular, we detail a pipeline for creating such game plots starting from 360 degrees images. We identify salient objects in equirectangular images, and we compose the output with other two neural networks for the generation: one generating captions for 2D images and one generating the plot text. The provided suggestions can be further developed by the EUDev, modifying the generated text and saving the result. The interface supports the control of different parameters of the story generator using a user-friendly vocabulary. The results of a user study show good effectiveness and usability of the proposed interface.

scholarly journals A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise

2020 ◽  
Vol 11 ◽  
Author(s):  
Matevž Pesek ◽  
Špela Medvešek ◽  
Anja Podlesek ◽  
Marko Tkalčič ◽  
Matija Marolt
Keyword(s):  
Prediction Accuracy ◽  
Computational Models ◽  
User Study ◽  
Prediction Models ◽  
Music Listening ◽  
The One

Melody prediction is an important aspect of music listening. The success of prediction, i.e., whether the next note played in a song is the same as the one predicted by the listener, depends on various factors. In the paper, we present two studies, where we assess how music familiarity and music expertise influence melody prediction in human listeners, and, expressed in appropriate data/algorithmic ways, computational models. To gather data on human listeners, we designed a melody prediction user study, where familiarity was controlled by two different music collections, while expertise was assessed by adapting the Music Sophistication Index instrument to Slovenian language. In the second study, we evaluated the melody prediction accuracy of computational melody prediction models. We evaluated two models, the SymCHM and the Implication-Realization model, which differ substantially in how they approach melody prediction. Our results show that both music familiarity and expertise affect the prediction accuracy of human listeners, as well as of computational models.

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