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检索条件"机构=Computer Graphics and Immersive Technologies Computer Science"

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Fostering Collaborative Work between educators in higher education

Fostering Collaborative Work between educators in higher edu...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Dulce Mota Carlos Vaz de Carvalho Luis Paulo Reis GILT-Graphics Interaction and Learning Technologies School of Engineering Polytechnic of Porto Porto Portugal FEUP-Faculty of Engineering LIAAC-Artificial Intelligence and Computer Science Laboratory University of Porto Porto Portugal

This paper presents the architecture that supports the collaborative model ACEM (Advanced Collaborative Educational Model) to assist educators in the collaborative design of learning activities, supported by a high-level graphical tool. ACEM embraces the research areas of computer Supported Cooperative Work (CSCW) and Learning Design (LD). Some facilities are considered in order to implement the online interactions between educators, namely a shared whiteboard and a conversation room. A workflow descriptive model of the educators' teamwork is also introduced.

关键词： Collaborative work Teamwork Resource management Education computers Computational modeling

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A conceptual model for collaborative learning activities design

A conceptual model for collaborative learning activities des...

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IEEE Education Engineering (EDUCON)

作者： Dulce Mota Carlos Vaz de Carvalho Luis Paulo Reis GILT Graphics Interaction and Learning Technologies Institute of Engineering Polytechnic of Porto Porto Portugal FEUP Faculty of Engineering LIAAC Artificial Intelligence and Computer Science Lab University of Porta Porto Portugal

This paper presents the Advanced Collaborative Educational Model (ACEM) for conception of collaborative learning activities. It is based on collaboration between teachers through virtual interactions, reutilization, interoperability and adaptability of learning activities. The definition of learning activity is oriented to a constructivist approach. Tagging collaboration and ontologies are also considered in order to facilitate sharing knowledge in a more effective and personalized way. The main goal of this research is to describe teachers' procedures when interacting with the collaborative environment and to develop mechanisms to support teachers in their tasks, mainly in the creation of learning activities to be used in an e-learning context. The model will be implemented through a high-level graphical tool that facilitates synchronous and asynchronous communication.

关键词： Collaboration Collaborative work Engineering education Electronic learning computers Computational modeling

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A robust approach for automatic registration of aerial images with untextured aerial LiDAR data

A robust approach for automatic registration of aerial image...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Lu Wang Ulrich Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA

Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D LiDAR data typically has no texture information. To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data. We present a robust automatic registration approach. A novel feature called 3CS is proposed which is composed of connected line segments. Putative line segment correspondences are obtained by matching 3CS features detected from both aerial images and 3D LiDAR data. Outliers are removed with a two-level RANSAC algorithm that integrates local and global processing to improve robustness and efficiency. The approach has been tested on 2290 aerial images that cover a variety of urban environments in Oakland and Atlanta areas. Its correct pose recovery rate is over 98%.

关键词： Robustness Laser radar Cameras Global Positioning System Large-scale systems Image segmentation Urban planning Cities and towns Videos Image generation

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Single View Camera Calibration for Augmented Virtual Environments

Single View Camera Calibration for Augmented Virtual Environ...

引用

IEEE Annual International Symposium Virtual Reality

作者： Lu Wang Suya You Ulrich Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA

Augmented virtual environments (AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualization and comprehension of the dynamic scenes. One of the key issues in creating such systems is to estimate the parameters of each camera including the intrinsic parameters and its pose relative to the 3D model. Existing camera pose estimation approaches require known intrinsic parameters and at least three 2D to 3D feature (point or line) correspondences. This cannot always be satisfied in an AVE system. Moreover, due to noise, the estimated camera location may be far from the expectation of the users when the number of correspondences is small. Our approach combines the users' prior knowledge about the camera location and the constraints from the parallel relationship between lines with those from feature correspondences. With at least two feature correspondences, it can always output an estimation of the camera parameters that gives an accurate alignment between the projection of the image (or video) and the 3D model

关键词： Cameras Calibration Virtual environment Layout Surveillance Urban planning Visualization Augmented reality Matrix decomposition Electronic mail

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Real-time hand pose recognition using low-resolution depth images

Real-time hand pose recognition using low-resolution depth i...

引用

2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Mo, Zhenyao Neumann, Ulrich University of Southern California Computer Graphics and Immersive Technologies Lab.

ISBN: (纸本)0769525970

Gesture recognition methods based on intensity or color images often suffer from low efficiency and lack of robustness. In this paper, we employ a new laser-based camera that produces reliable low-resolution depth images at video rates. By decomposing and recognizing hand poses as finger states (finger poses and finger inter-relations), we achieve robust hand pose recognition in real-time (30 frames/second). © 2006 IEEE.

关键词： Gesture recognition

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Model-driven video-based rendering for vehicles

Model-driven video-based rendering for vehicles

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2006 Conference on computer Vision and Pattern Recognition Workshops

作者： Sebe, Ismail Oner You, Suya Neumann, Ulrich Computer Graphics and Immersive Technologies Laboratory PHE 108 3737 Watt Way Los Angeles CA 90089

ISBN: (纸本)0769526462

We present a video-based rendering (VBR) method that creates arbitrary views of the scene from images captured by a single un-calibrated camera. The system is model-based and focused on a single object class, specifically vehicles in this paper. The procedure has three main steps. First, the object is rapidly modeled from a single image using a simple interactive tool. The modeling tool creates high quality 3D models by facilitating constrained modifications to a generic model of the object class. Secondly, the dynamic object is tracked in the video sequence and the pose of the object is recorded. The tracking and pose estimation leverage the 3D model to ensure high accuracy. Lastly, the surrounding scene is modeled as a texturedpiece-wise planar approximation. A free-viewpoint rendering of the video (4D video) is then produced as needed for special effects or virtual reality applications. The versatility and effectiveness of our approach to modeling and rendering is demonstrated on the object class of vehicles. © 2006 IEEE.

关键词： Vehicle locating systems

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Expression cloning 06

Expression cloning

引用

2006 ACM SIGGRAPH Courses, SIGGRAPH 2006

作者： Noh, Jun-Yong Neumann, Ulrich Computer Graphics and Immesive Technologies Laboratory Computer Science Department Integrated Media Systems Center University of Southern California United States

ISBN: (纸本)1595933646

We present a novel approach to producing facial expression animations for new models. Instead of creating new facial animations from scratch for each new model created, we take advantage of existing animation data in the form of vertex motion vectors. Our method allows animations created by any tools or methods to be easily retargeted to new models. We call this process expression cloning and it provides a new alternative for creating facial animations for character models. Expression cloning makes it meaningful to compile a high-quality facial animation library since this data can be reused for new models. Our method transfers vertex motion vectors from a source face model to a target model having different geometric proportions and mesh structure (vertex number and connectivity). With the aid of an automated heuristic correspondence search, expression cloning typically requires a user to select fewer than ten points in the model. Cloned expression animations preserve the relative motions, dynamics, and character of the original facial animations.

关键词： Animation

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Model-Driven Video-Based Rendering for Vehicles

Model-Driven Video-Based Rendering for Vehicles

引用

IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： I.O. Sebe Suya You U. Neumann Computer Graphics and Immersive Technologies Laboratory Los Angeles CA USA

We present a video-based rendering (VBR) method that creates arbitrary views of the scene from images captured by a single un-calibrated camera. The system is model-based and focused on a single object class, specifically vehicles in this paper. The procedure has three main steps. First, the object is rapidly modeled from a single image using a simple interactive tool. The modeling tool creates high quality 3D models by facilitating constrained modifications to a generic model of the object class. Secondly, the dynamic object is tracked in the video sequence and the pose of the object is recorded. The tracking and pose estimation leverage the 3D model to ensure high accuracy. Lastly, the surrounding scene is modeled as a textured piece-wise planar approximation. A free-viewpoint rendering of the video (4D video) is then produced as needed for special effects or virtual reality applications. The versatility and effectiveness of our approach to modeling and rendering is demonstrated on the object class of vehicles.

关键词： Vehicles Rendering (computer graphics) Cameras Laser modes Mice Hardware Buildings computer graphics Laboratories computer vision

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Real-time Hand Pose Recognition Using Low-Resolution Depth Images

Real-time Hand Pose Recognition Using Low-Resolution Depth I...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Zhenyao Mo U. Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA

关键词： Image recognition Fingers Cameras Robustness Feature extraction computer vision Color Training data computer graphics Keyboards

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Ecce homology 05

Ecce homology

引用

International Conference on computer graphics and Interactive Techniques, SIGGRAPH 2005

作者： West, Ruth Burke, Jeff Kerfeld, Cheryl Mendelowitz, Eitan Holton, Thomas Lewis, J.P. Drucker, Ethan Yan, Weihong Lamont, Steve McQuade, Loren Lee, David National Center for Microscopy and Imaging Research UCSD United States UCLA HyperMedia Studio United States UCLA DOE Center for Genomics and Proteomics United States UCLA Department of Computer Science United States USC Computer Graphics and Immersive Technology Laboratory IMSC United States UCLA Bioinformatics User Facility United States

ISBN: (纸本)9781450378291

Ecce Homology, a physically interactive new-media work, visualizes genetic data as calligraphic forms. A novel computervision based user interface allows multiple participants, through their movement in the installation space, to select genes from the human genome for visualizing the Basic Local Alignment Search Tool (BLAST), a primary algorithm in comparative genomics.

关键词： User interfaces

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