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43rd Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2022

作者： Marin, D. Ohrhallinger, S. Wimmer, M. Institute of Visual Computing & Human-Centered Technology TU Wien Austria

ISBN: (纸本)9783038681717

We introduce a new method to compute the shape of an unstructured set of two-dimensional points. The algorithm exploits the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG). We filter edges from the Delaunay triangulation belonging to the SIG as an initial graph and apply some additional processing plus elements from the Connect2D algorithm. This combination already shows improvements in curve reconstruction, yielding the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and offers potential of further improvements. © 2022 The Author(s).

关键词： Machine learning

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A Novel Approach to 3D Storyboarding 14th

A Novel Approach to 3D Storyboarding

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14th EAI International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2023

作者： Manuri, Federico Sanna, Andrea Scarzello, Marco De Pace, Francesco DAUIN Politecnico di Torino corso Duca degli Abruzzi 24 Torino10129 Italy Institute of Visual Computing and Human-Centered Technology TU Wien Vienna Austria

ISBN: (纸本)9783031557217

Creatives in the animation and film industries constantly explore new and innovative tools and methods to enhance their creative process, especially in pre-production. As realistic, real-time rendering techniques have emerged in recent years, 3D game engines, modeling, and animation tools have been exploited to support storyboarding and movie prototyping. This research proposes a 3D storyboarding tool to improve existing storytelling approaches. A novel storyboarding pipeline is proposed, which can automatically generate a storyboard including camera details and a textual description of the events occurring in each scene. Users create storyboards by selecting actors, performing available actions, positioning the camera in the 3D scene, and taking screenshots to save a vignette of the storyboard;the corresponding description is generated based on the actors’ actions and their status. A software implementation of the proposed pipeline has also been developed in the guise of a 3D desktop application aimed at expert and novice storyboarders. The system has been tested to evaluate its usability. Preliminary results confirm that the users have appreciated the application. © ICST institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Cameras

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Automatic object annotation in streamed and remotely explored large 3D reconstructions

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Computational visual Media 2021年第1期7卷 71-86页

作者： Benjamin Holler Annette Mossel Hannes Kaufmann Institute of Visual Computing and Human-Centered Technology Vienna University of TechnologyFavoritenstraβe 9-11/193/06A-1040 ViennaAustria

We introduce a novel framework for 3 D scene reconstruction with simultaneous object annotation,using a pre-trained 2 D convolutional neural network(CNN),incremental data streaming,and remote exploration,with a virtual reality *** enables versatile integration of any 2 D box detection or segmentation *** integrate new approaches to(i)asynchronously perform dense 3 D-reconstruction and object annotation at interactive frame rates,(ii)efficiently optimize CNN results in terms of object prediction and spatial accuracy,and(iii)generate computationally-efficient colliders in large triangulated3 D-reconstructions at run-time for 3 D scene *** method is novel in combining CNNs with long and varying inference time with live 3 D-reconstruction from RGB-D camera *** further propose a lightweight data structure to store the 3 D-reconstruction data and object annotations to enable fast incremental data transmission for real-time exploration with a remote client,which has not been presented *** framework achieves update rates of 22 fps(SSD Mobile Net)and 19 fps(Mask RCNN)for indoor environments up to 800 m^(3).We evaluated the accuracy of 3 D-object *** work provides a versatile foundation for semantic scene understanding of large streamed3 D-reconstructions,while being independent from the CNN’s processing *** code is available for non-commercial use.

关键词： dense 3D reconstruction object detection CNN distributed virtual reality

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Your Face, Your Anatomy: Flashcard Lenses Enriched with Knowledge Maps for Anatomy Education 23

Your Face, Your Anatomy: Flashcard Lenses Enriched with Know...

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23rd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024

作者： Lucio, Ines M. Raidou, Renata G. Rodrigues, Pedro Lopes, Daniel Simoes ITI/LARSyS Instituto Superior Técnico Universidade de Lisboa Portugal Institute of Visual Computing and Human-Centered Technology TU Wien Austria Egas Moniz School of Health and Science Portugal

ISBN: (纸本)9798331516475

Traditional anatomy flashcards, with their recognizable static illustrations on the front side and comprehensive lists of concepts on the back, are a long-standing tool for memorizing and refreshing anatomical concepts. This study repurposes such established tool by introducing two key elements: (i) Augmented Reality (AR) lenses acting as magic mirrors enabling users to view anatomical illustrations mapped onto their own faces, and (ii) a knowledge map layer acting as the card's backside to visually and explicitly illustrate conceptual connections between anatomical reference points. Using Snapchat's Lens Studio, we crafted a deck of interactive facial anatomy flashcards to assess the potential of AR and knowledge maps for retaining and refreshing anatomical concepts. We conducted a user study involving 44 university-level students. Divided into two groups, participants utilized either flashcard lenses with knowledge maps or traditional flashcards to quickly grasp and refresh anatomical concepts. By employing an approach that integrates anatomical quizzes for objective assessment with surveys and interviews for subjective feedback, our results indicate that anatomy flashcard lenses with knowledge maps offer a more engaging educational experience, yielding higher user preferences and satisfaction levels compared to traditional flashcards. While both approaches showed similar effectiveness in quiz scores, anatomy flashcard lenses with knowledge maps were favored for their usability, significantly reducing temporal demand. These findings underscore the engaging and effective nature of anatomy flashcard lenses with knowledge maps, highlighting them as an alternative tool for the quick retention and review of anatomical concepts. © 2024 IEEE.

关键词： anatomy education embodied learning Flashcards knowledge maps mobile augmented reality Snapchat

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Semi-Autonomous, Virtual Reality Based Robotic Telemanipulation for the Execution of Peg-In-Hole Assembly Tasks 23

Semi-Autonomous, Virtual Reality Based Robotic Telemanipulat...

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23rd IEEE-RAS International Conference on humanoid Robots, humanoids 2024

作者： Duan, Shifei De Pace, Francesco Sanches, Felipe Padula Jiang, Haodan Liarokapis, Minas The University of Auckland New Dexterity research group Department of Mechanical and Mechatronics Engineering New Zealand Institute of Visual Computing and Human-Centered Technology Tu Wien Vr&ar Research Unit Austria

ISBN: (纸本)9798350373578

Robotic arms demonstrate superior speed and precision when performing tasks in challenging environments. However, creating fully autonomous robots remains challenging, particularly for tasks that demand the kind of subtle perception and complex decision-making that humans use naturally. This paper investigates the integration of Virtual Reality (VR) with robotic telemanipulation, aiming to boost cooperation between humans and robots in the execution of peg-in-hole assembly tasks. The introduced semi-autonomous framework utilizes visual object detection technology to identify the types and 6D poses of objects, offering affordances to the user. The robot autonomously plans its movement toward the designated goal location before switching to the real-time telemanipulation scheme. This allows the user to either approve the pre-determined task execution plan or take over the robot control and make necessary adjustments. Following a comparative user study between the proposed framework and a pure telemanipulation system, the effectiveness of this approach is evaluated and demonstrated. © 2024 IEEE.

关键词： Robotic arms

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Evaluation of Camera Pose Estimation Using human Head Pose Estimation

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SN Computer Science 2023年第3期4卷 1-15页

作者： Fischer, Robert Hödlmoser, Michael Gelautz, Margrit Visual Computing and Human-Centered Technology TU Wien Favoritenstrasse 9 Vienna 1040 Austria emotion3D GmbH Rainergasse 1/8 Vienna 1040 Austria

We introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates extrinsic calibration from 2D input images (NIR and/or RGB), while merely relying on the detected human head, without the need for depth information. The approach is applicable to single cameras or multi-camera networks. Our implementation uses a fine-tuned deep learning-based 2D human facial landmark detector to estimate the 3D human head pose by fitting a 3D head model to the detected 2D facial landmarks. Our work focuses on an evaluation of the proposed approach on real multi-camera recordings and synthetic renderings to determine the accuracy of the pose estimation results and their applicability. We assess the robustness of our method against different input parameters, such as varying relative camera positions, variations of head models, face occlusions (by masks, sun glasses, etc.), potential biases and variance among humans. Based on the experimental results, we expect our approach to be effective for numerous use cases including automotive attention monitoring, robotics, VR/AR and other scenarios where ease of handling outweighs accuracy. © 2023, The Author(s).

关键词： Camera networks Camera pose estimation Evaluation Extrinsic calibration Head pose estimation

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Subjective Assessments of Legibility in Ancient Manuscript Images - The SALAMI Dataset 25th

Subjective Assessments of Legibility in Ancient Manuscript I...

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25th International Conference on Pattern Recognition Workshops, ICPR 2020

作者： Brenner, Simon Sablatnig, Robert Institute of Visual Computing and Human-Centered Technology TU Wien Vienna1040 Austria

ISBN: (纸本)9783030687861

The research field concerned with the digital restoration of degraded written heritage lacks a quantitative metric for evaluating its results, which prevents the comparison of relevant methods on large datasets. Thus, we introduce a novel dataset of Subjective Assessments of Legibility in Ancient Manuscript Images (SALAMI) to serve as a ground truth for the development of quantitative evaluation metrics in the field of digital text restoration. This dataset consists of 250 images of 50 manuscript regions with corresponding spatial maps of mean legibility and uncertainty, which are based on a study conducted with 20 experts of philology and paleography. As this study is the first of its kind, the validity and reliability of its design and the results obtained are motivated statistically: we report a high intra- and inter-rater agreement and show that the bulk of variation in the scores is introduced by the image regions observed and not by controlled or uncontrolled properties of participants and test environments, thus concluding that the legibility scores measured are valid attributes of the underlying images. © 2021, Springer Nature Switzerland AG.

关键词： Restoration

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RoboTeach: How Student Robots' Preexisting Proficiency and Learning Rate Affect human Teachers Demonstrating Object Placement 25

RoboTeach: How Student Robots' Preexisting Proficiency and L...

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Proceedings of the 2025 CHI Conference on human Factors in computing Systems

作者： Khaled Kassem Patrick Gietl Florian Michahelles Andrii Matviienko TU Wien Vienna Austria TU Wien Visual Computing & Human-centered Technology Vienna Austria KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9798400713941

Social robots are employed as companions, helping in industrial and domestic environments. Adapting robots' capabilities to user needs can be achieved through teaching from human demonstrations. However, the influence of robots' preexisting proficiency and learning rate on human teachers' self-efficacy and perception of the robots is underexplored. In this paper, we simulated four robot performance types that combine: (1) preexisting proficiency (low/high) and (2) learning rate (slow/fast). We conducted a controlled lab experiment studying the impact of robots' performance type on teachers' self-efficacy, willingness to teach the robot, and perception of the robot (N=24), in which robots placed objects in suitable locations. Fast learners were perceived as more intelligent, anthropomorphic, and likable, and this caused higher teaching self-efficacy regardless of preexisting skills. Slow learners caused frustration while teaching. Moreover, participants stopped teaching robots with low preexisting skills sooner, regardless of the learning rate, indicating potential bias caused by expectations. © 2025 Copyright held by the owner/author(s).

关键词： teaching robots

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Impact of the COVID-19 pandemic: Distance learning at schools: An analysis of problems through the switch from classroom teaching to distance learning in Austria 2021

Impact of the COVID-19 pandemic: Distance learning at school...

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6th International Conference on Distance Education and Learning, ICDEL 2021

作者： Schwantler, Simon Tellioǧlu, Hilda TU Wien Institute of Visual Computing and Human-Centered Technology Artifact-Based Computing and User Research

ISBN: (纸本)9781450390033

Due to the sudden emergence of the COVID-19 pandemic in 2020, classroom teaching at Austrian secondary schools were no longer possible. Distance learning took the place of classroom teaching and an attempt was made to teach students virtually at home. This work provides a brief overview of (digitalization) initiatives of the Federal Ministry of Education, Science and Research in recent years, shows general approaches and cornerstones for the successful implementation of change processes and sheds light on the actual experiences of teachers in dealing with distance learning, especially during the pandemic. The feedback from the teaching staff, obtained via an online survey and a one-on-one interview, was subsequently used to formulate a recommendation for action for the future and to draw attention to problems that would have been avoidable. It is also clear from the feedbacks of the teachers whether past digitization initiatives have been implemented by schools and who is responsible for a successful distance learning in practice. Distance learning is more than simply moving the lessons from the classrooms home. In particular, topics such as social contact and personal relationship building, which are a matter of course in classroom teaching, must be given special consideration in distance learning in order to prevent negative effects on students, teachers, parents and all persons involved in everyday school life. © 2021 ACM.

关键词： Distance education

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Evaluation of Virtual Reality for Early-Stage Structure and Production Planning for Industrial Buildings

Evaluation of Virtual Reality for Early-Stage Structure and ...

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IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW)

作者： Iana Podkosova Julia Reisinger Maria Antonia Zahlbruckner Iva Kovacic Hannes Kaufmann Institute of Visual Computing and Human-Centered Technology TU Wien Institute of Building and Industrial Construction TU Wien

Efficient communication between stakeholders is key to successful project planning in the AEC industry. The workflow proposed in the research project BIMFlexi enables interdisciplinary exchange already at the early stages of industrial building planning by using Building Information Modeling for integral design of the future production and the building structure. Communication in BIMFlexi is supported by a Virtual Reality platform, BIMFlexi-VR, that provides a multi-user virtual environment in which architects, structural engineers, production planners and production owners can collaboratively change parameters of the planned building and see the resulting changes in the building geometry and various fitness metrics in real-time. This paper discusses the results of the evaluation of BIMFlexi-VR by interdisciplinary teams of professionals from the AEC industry, which identified a strong potential of our platform for interdisciplinary presentation and communication.

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