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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Kushner, Sarah Kanji, John Dietz, Paul H. Wigdor, Daniel University of Toronto Dynamic Graphics Project Lab Dept. of Computer Science TorontoON Canada

ISBN: (纸本)9798350351507

This innovative practice full paper finds that story-telling through animatronics can offer a combination of creativity and engineering in order to engage students in an inquiry-based approach to STEM learning. Animatronics is the art and science of bringing a story to life through robotic puppetry. Typically reserved for trained engineers with ample resources, animatronics can be an expressive yet inaccessible medium. We aim to allow students to write, create, and perform an animatronic story, learning valuable technical skills along the way. Our study, which took place over the course of eight weeks, investigates the use of our Paper Animatronics Kit in a Grade 2 and Grade 6 classroom, following the progression of their creative writing, animatronic building, and mentoring processes. We present results of our qualitative analysis of student and teacher interviews and group discussions. © 2024 IEEE.

关键词： Students

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A Constructivism-based Approach to Treemap Literacy in the Classroom

A Constructivism-based Approach to Treemap Literacy in the C...

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44th Annual Conference on European Association for computer graphics, EUROgraphics 2023

作者： Firat, Elif E. Lang, Colm Srinivas, Bhumika Peng, Ilena Laramee, Robert S. Joshi, Alark Department of Computer Engineering Cukurova University Turkey Visualization and Graphics Lab Department of Computer Science University of San Francisco CA United States School of Computer Science University of Nottingham United Kingdom

ISBN: (纸本)9783038682103

Treemaps are a popular representation to show hierarchical as well as part-to-whole relationships in data. While most students are aware of node-link representations/network diagrams based on their K-12 education, treemaps are often a novel representation to them. We present our experience of developing a software using principles from constructivism to help students understand treemaps using linked, side-by-side views of a node-link diagram and a treemap of the same data. Based on the qualitative survey conducted at the end of the intervention, students found the linked views to be beneficial for understanding hierarchical representation of data using treemaps. © 2023 The Authors.

关键词： Students

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Speed Bump Detection Through Inertial Sensors and Deep Learning in a Multi-contextual Analysis

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SN computer science 2023年第1期4卷 18页

作者： Menegazzo, Jeferson von Wangenheim, Aldo Graduate Program in Computer Science (PPGCC) Image Processing and Computer Graphics Lab (LAPIX) Brazilian National Institute for Digital Convergence (INCoD) Department of Informatics and Statistics (INE) Federal University of Santa Catarina (UFSC)-Florianópolis Santa Catarina Brazil

Speed bumps are vertical raisings of the road pavement used to force drivers to slow down to ensure greater safety in traffic. However, these obstacles have disadvantages in terms of efficiency and safety, where the presence of speed bumps can affect travel time and fuel consumption, cause traffic jams, delay emergency vehicles, and cause vehicle damage or accidents when not properly signaled. Due to these factors, the availability of geolocation information for these obstacles can benefit several applications in Intelligent Transportation System (ITS), such as Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, allowing to trace more efficient routes or alert the driver of the presence of the obstacle ahead. Speed bump detection applications described in the literature employ cameras or inertial sensors, represented by accelerometers and gyroscopes. While camera-based solutions are mature with evaluation in different contextual conditions, those based on inertial sensors do not offer multi-contextual analyses, being mostly simple applications of proof of concept, not applicable in real-world scenarios. For this reason, in this work, we propose the development of a reliable speed bump detection model based on inertial sensors, capable of operating reliably in contextual variations: different vehicles, driving styles, and environments in which vehicles can travel to. For the model development and validation, we collect nine datasets with contextual variations, using three different vehicles, with three different drivers, in three different environments, in which there are three different surface types, in addition to variations in conservation state and the presence of obstacles and anomalies. The speed bumps are present in two different pavement types, asphalt and cobblestone. We use the collected data in experiments to evaluate aspects such as the influence of the placement of the sensors for vehicle data collection and the data window size. Afterwar

关键词： Autonomous vehicles Deep learning Inertial sensors Intelligent transport systems Road conditions Speed bump

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Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting

Stereo Conversion with Disparity-Aware Warping, Compositing ...

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IEEE Workshop on Applications of computer Vision (WACV)

作者： Lukas Mehl Andrés Bruhn Markus Gross Christopher Schroers Institute for Visualization and Interactive Systems University of Stuttgart Department of Computer Science Computer Graphics Lab ETH Zurich DisneyResearch|Studios Switzerland

Despite of exciting advances in image-based rendering and novel view synthesis, it is still challenging to achieve high-resolution results that can reach production-level quality when applying such methods to the task of stereo conversion. At the same time, only very few dedicated stereo conversion approaches exist, which also fall short in terms of the required quality. Hence, in this paper, we present a novel method for high-resolution 2D-to-3D conversion. It is fully differentiable in all of its stages and performs disparity-informed warping, consistent foreground-background compositing, and background-aware inpainting. To enable temporal consistency in the resulting video, we propose a strategy to integrate information from additional video frames. Extensive ablation studies validate our design choices, leading to a fully automatic model that outperforms existing approaches by a large margin (49-70% LPIPS error reduction). Finally, inspired from current practices in manual stereo conversion, we introduce optional interactive tools into our model, which allow to steer the conversion process and make it significantly more applicable for 3D film production.

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Papertronic Puppets: Teaching STEM and Storytelling Through Creative Construction

Papertronic Puppets: Teaching STEM and Storytelling Through ...

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Frontiers in Education (FIE) Conference

作者： Sarah Kushner John Kanji Paul H. Dietz Daniel Wigdor Dept. of Computer Science Dynamic Graphics Project Lab University of Toronto Toronto ON Canada

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

关键词： Animatronics Education Buildings Collaboration Writing Mentoring Interviews Robots Creativity STEM

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Creating Latent Representations of Synthesizer Patches using Variational Autoencoders

Creating Latent Representations of Synthesizer Patches using...

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Internet of Sounds, International Symposium on the

作者： Matthew Peachey Sageev Oore Joseph Malloch Graphics and Experiential Media Lab Dalhousie University Halifax Canada Faculty of Computer Science Dalhousie University Halifax Canada

Digital synthesizers typically feature a user-adjustable parameter space (i.e. the set of user-adjustable parameters) that is used to shape the sound (or timbre) of the instrument. A synthesizer patch is a snapshot of the state of the instrument’s parameter space at a given time and is the representation most familiar to synthesizer users. Creating patches can often be repetitive, tedious, and complicated for synthesizers with large parameter spaces. This paper presents the creation and use of latent representations of synthesizer patches generated by training a Variational Autoencoder (VAE) on a library of existing patches. We demonstrate how to generate previously unseen patches by exploring this latent representation via interpolation through the latent space. Using the open-source synthesizer amSynth as a test bed, we evaluate reconstructed patches against a ground truth both, numerically and timbrally, as well as show how generating new patches from the latent space result in diverse yet musically pleasing timbres.

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Interactive quality inspection of measured deviations in sheet metal assemblies 2

Interactive quality inspection of measured deviations in she...

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2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020

作者： Claus, Felix Hagen, Hans Leonhardt, Viktor Leitte, Heike Hamann, Bernd Computer Graphics and HCI Lab Computer Science Department Technische Universität Kaiserslautern Germany Scientific Visualization Lab Computer Science Department Technische Universität Kaiserslautern Germany Visual Information Analysis Computer Science Department Technische Universität Kaiserslautern Germany Department of Computer Science University of California DavisCA95616 United States

ISBN: (纸本)9783959771832

We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process. © Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann.

关键词： Inspection

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Reflecting on Excellence: VR Simulation for Learning Indirect Vision in Complex Bi-Manual Tasks

Reflecting on Excellence: VR Simulation for Learning Indirec...

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IEEE Annual International Symposium Virtual Reality

作者： Maximilian Kaluschke Rene Weller Myat Su Yin Benedikt W. Hosp Farin Kulapichitr Siriwan Suebnukarn Peter Haddawy Gabriel Zachmann Computer Graphics & VR University of Bremen Faculty of ICT Mahidol University ZEISS Vision Science Lab University of Tübingen Faculty of Dentistry Thammasat University

Indirect vision through a mirror, while bi-manually manipulating both the mirror and another tool is a relatively common way to perform operations in various types of surgery. However, learning such psychomotor skills requires extensive training; they are difficult to teach; and they can be quite costly, for instance, for dentistry schools. In order to study the effectiveness of VR simulators for learning these kinds of skills, we developed a simulator for training dental surgery procedures, which supports tracking of eye gaze and tool trajectories (mirror and drill), as well as automated outcome scoring. We carried out a pre-/post-test study in which 30 fifth-year dental students received six training sessions in the access opening stage of the root canal procedure using the simulator. In addition, six experts performed three trials using the simulator. The outcomes of drilling performed on realistic plastic teeth showed a significant learning effect due to the training sessions. Also, students with larger improvements in the simulator tended to improve more in the real-world tests. Analysis of the tracking data revealed novel relationships between several metrics w.r.t. eye gaze and mirror use, and performance and learning effectiveness: high rates of correct mirror placement during active drilling and high continuity of fixation on the tooth are associated with increased skills and increased learning effectiveness. Larger time allocation for tooth inspections using the mirror, i.e., indirect vision, and frequency of inspection are associated with increased learning effectiveness. Our findings suggest that eye tracking can provide valuable insights into student learning gains of bi-manual psychomotor skills, particularly in indirect vision environments.

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Enhancing Satellite Trail Detection in Night Sky Imagery with Automatic Salience Thresholding

Enhancing Satellite Trail Detection in Night Sky Imagery wit...

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Canadian Conference on computer and Robot Vision, CRV

作者： Nikolaus Kollo Yasushi Akiyama Jiju Peethambaran Department of Mathematics and Computer Science Graphics and Spatial Computing Lab Saint Mary's University Halifax Nova Scotia Canada

This paper proposes a novel automatic thresholding method called Automatic Salience Thresholding (AST) for creating binary masks for detecting and removing satellite streaks in night sky imagery. Our approach utilizes a combination of Gaussian filtering, a salience-based thresholding technique, morphological filtering and line detection using Probabilistic Hough Transformations to identify the satellite trail in the image. We evaluated our method on diverse datasets of night sky images containing satellite trails in varying lighting conditions. Our results show that AST outperforms the compared methods regarding accuracy and speed. Our proposed AST method provides a reliable and efficient solution for detecting satellite trails while balancing selectivity and sensitivity.

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To the Point: From Dynamic Heatmap Video to Gaze Points 25

To the Point: From Dynamic Heatmap Video to Gaze Points

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Proceedings of the 2025 Symposium on Eye Tracking Research and Applications

作者： Beryl Gnanaraj Swetha Manivasagam Jaya Sreevalsan-Nair Graphics-Visualization-Computing Lab International Institute of Information Technology Bangalore Bangalore Karnataka India Department of Computer Science and Engineering PSG College of Technology Coimbatore Tamil Nadu India

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