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26th Australian computer-Human Interaction Conference, OzCHI 2014

作者： Zollmann, Stefanie Grasset, Raphael Reitmayr, Gerhard Langlotz, Tobias Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Animation Research Ltd. Dunedin New Zealand Qualcomm Austria Research Center Vienna Austria Department of Information Science University of Otago Dunedin New Zealand

ISBN: (纸本)9781450306539

This paper evaluates different state-of-the-art approaches for implementing an X-ray view in Augmented Reality (AR). Our focus is on approaches supporting a better scene understanding and in particular a better sense of depth order between physical objects and digital objects. One of the main goals of this work is to provide effective X-ray visualization techniques that work in unprepared outdoor environments. In order to achieve this goal, we focus on methods that automatically extract depth cues from video images. The extracted depth cues are combined in ghosting maps that are used to assign each video image pixel a transparency value to control the overlay in the AR view. Within our study, we analyze three different types of ghosting maps, 1) alpha-blending which uses a uniform alpha value within the ghosting map, 2) edge-based ghosting which is based on edge extraction and 3) image-based ghosting which incorporates perceptual grouping, saliency information, edges and texture details. Our study results demonstrate that the latter technique helps the user to understand the subsurface location of virtual objects better than using alpha-blending or the edge-based ghosting. Copyright 2014 ACM.

关键词： Augmented reality

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Fitting 3D garment models onto individual human models

Fitting 3D garment models onto individual human models

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作者： Li, Jituo Ye, Juntao Wang, Yangsheng Bai, Li Lu, Guodong Digital Interactive Media Lab Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancuan East Road Beijing 100190 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China Institute of Engineering and Computer Graphics Mechanical Department of Zhejiang University Zhejiang University Yuquan Campus No. 38 Zheda Road Hangzhou 310027 China School of Computer Science University of Nottingham Nottingham United Kingdom

Designing an elegant 3D virtual garment model for a 3D virtual human model is labor-intensive, because most existing garment models are custom-made for a specific human model and cannot be easily reused for other individuals. In this paper, we propose a novel method for fitting a given 3D garment model onto human models of various body shapes and poses. The fitting is accomplished by deforming the garment mesh to match the shapes of the human models by using a combination of the following: skeleton-driven volumetric deformation, garmenthuman shape similarity matching and evaluation, the constraints of garmenthuman contact, and garmenthuman ease allowance. Experiments show that our approach performs very well and has the potential to be used in the garment design industry. © 2010 Elsevier Ltd.

关键词： Musculoskeletal system

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A model for the visualization exploration process

A model for the visualization exploration process

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VIS 2002, IEEE Visualisation 2002

作者： Jankun-Kelly, T.J. Ma, Kwan-Liu Gertz, Michael Visualization and Graphics Res. Grp. Center for IPIC University of California Davis CA 95616 United States Database and Information Syst. Group Computer Science Department University of California Davis CA 95616 United States

The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has investigated the visualization process itself. The information content of the visualization process-the results, history, and relationships between those results-is addressed by this work. A characterization of the visualization process is discussed, leading to a general model of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used for automated reporting, analysis, or visualized directly. An XML-based language for expressing visualization sessions using the model is also described. These sessions can then be shared and reused by collaborators. The model, along with the XML representation, provides an effective means to utilize the information within the visualization process to further data exploration.

关键词： Visualization

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Smart 3D visualizations in clinical applications

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3rd International Symposium on Smart graphics, SG 2003

作者： Preim, Bernhard Peitgen, Heinz-Otto Institute for Simulation and Graphics Department for Computer Science Otto-von-Guericke-University of Magdeburg Universitaetsplatz 2 Magdeburg39106 Germany Center for Medical Diagnosic Systems and Visualization Universitaetsallee 29 Bremen28359 Germany

ISBN: (纸本)3540405577

We discuss techniques for the visualization of medical volume data dedicated for their clinical use. We describe the need for rapid dynamic interaction facilities with such visualizations and discuss emphasis techniques in more detail. Another crucial aspect of medical visualization is the integration of 2d and 3d visualizations. In order to organize this discussion, we introduce 6 „Golden"rules for medical visualizations. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Visualization

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On the translation-invariance of image distance metric

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Applied Informatics 2015年第1期2卷 1-12页

作者： Bing Sun Jufu Feng Guoping Wang Key Laboratory of Machine Perception (Ministry of Education) Department of Machine Intelligence School of Electronics Engineering and Computer Science Peking University Beijing People’s Republic of China Graphics and Interactive Laboratory School of Electronics Engineering and Computer Science Peking University Beijing People’s Republic of China

An appropriate choice of the distance metric is a fundamental problem in pattern recognition, machine learning and cluster analysis. Some methods that based on the distance of samples, e.g, the k-means clustering algorithm and the k-nearest neighbor classifier, are crucially relied on the performance of the distance metric. In this paper, the property of translation invariance for the distance metric of images is especially emphasized. The consideration is twofold. Firstly, some of the commonly used distance metrics, such as the Euclidean and Minkowski distance, are independent of the training set and/or the domain-specific knowledge. Secondly, the translation invariance is a necessary property for any intuitively reasonable image metric. The image Euclidean distance (IMED) and generalized Euclidean distance (GED) are image metrics that take the spatial relationship between pixels into consideration. Sun et al.(IEEE Conference on computer Vision and Pattern Recognition, pp 1398–1405, 2009) showed that IMED is equivalent to a translation-invariant transform and proposed a metric learning algorithm based on the equivalency. In this paper, we provide a complete treatment on this topic and extend the equivalency to the discrete frequency domain. Based on the connection, we show that GED and IMED can be implemented as low-pass filters, which reduce the space and time complexities significantly. The transform domain metric learning proposed in (Sun et al. 2009) is also resembled as a translation-invariant counterpart of LDA. Experimental results demonstrate improvements in algorithm efficiency and performance boosts on the small sample size problems.

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Ear Recognition Using Multi-Scale Histogram of Oriented Gradients

Ear Recognition Using Multi-Scale Histogram of Oriented Grad...

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Naser Damer Benedikt Führer Competence Center Identification and Biometrics Fraunhofer Institute for Computer Graphics Darmstadt Germany Department of Computer Science Technische Universität Darmstadt Darmstadt Germany

Ear recognition is a promising biometric measure, especially with the growing interest in multi-modal biometrics. Histogram of Oriented Gradients (HOG) have been effectively and efficiently used solving the problems of object detection and recognition, especially when illumination variations are present. This work presents a robust approach for ear recognition using multi-scale dense HOG features as a descriptor of 2D ear images. The multi-scale features assure to capture the different and complicated structures of ear images. Dimensionality reduction was performed to avoid feature redundancy and provide a more efficient recognition process while being prone to over-fitting. Finally, a test was performed on a large and realistic database and the results were compared to the state of the art ear recognition approaches tested on the same dataset and under the same test procedure.

关键词： Ear Biometrics Feature extraction Face Face recognition Principal component analysis Lighting

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Image plane interaction techniques in 3D immersive environments 97

Image plane interaction techniques in 3D immersive environme...

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Proceedings of the 1997 symposium on interactive 3D graphics

作者： Jeffrey S. Pierce Andrew S. Forsberg Matthew J. Conway Seung Hong Robert C. Zeleznik Mark R. Mine Department of Computer Science University of Virginia Charlottesville VA Brown University site of the NSF Science and Technology Center for Computer Graphics and Scientific Visualization Providence RI Department of Computer Science University of North Carolina Chapel Hill NC

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Advances in Visual Computing 1

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丛书名： Lecture Notes in computer science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Ryan McMahan Jason Jerald Hui Zhang Steven M. Drucker Chandra Kambhamettu Maha Choubassi Zhigang Deng Mark Carlson

ISBN: (数字)9783319142494

ISBN: (纸本)9783319142487

The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.

关键词： Pattern Recognition computer graphics Image Processing and computer Vision User Interfaces and Human computer Interaction Information Systems Applications (incl. Internet) Computational Biology/Bioinformatics

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Advances in Visual Computing 1

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丛书名： Lecture Notes in computer science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Ryan McMahan Jason Jerald Hui Zhang Steven M. Drucker Chandra Kambhamettu Maha Choubassi Zhigang Deng Mark Carlson

ISBN: (数字)9783319143644

ISBN: (纸本)9783319143637

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A word extraction algorithm for machine-printed documents using a 3D neighborhood graph model

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International Journal on Document Analysis and Recognition 2001年第2期4卷 115-130页

作者： Park, Hwan-Chul Ok, Se-Young Yu, Young-Jung Cho, Hwan-Gue R and D Center PAXVR Seocho Jeil B/D 1624-2 Seocho-Dong Seocho-Ku Seoul 137-878 Korea Republic of LG Innotek Yongin-shi Kyunggi-do Korea Republic of Graphics Application Lab. Department of Computer Science Pusan National University Kum-Jung-Ku Pusan 609-735 Korea Republic of

Automatic character recognition and image understanding of a given paper document are the main objectives of the computer vision field. For these problems, a basic step is to isolate characters and group words from these isolated characters. In this paper, we propose a new method for extracting characters from a mixed text/graphic machine-printed document and an algorithm for distinguishing words from the isolated characters. For extracting characters, we exploit several features (size, elongation, and density) of characters and propose a characteristic value for classification using the run-length frequency of the image component. In the context of word grouping, previous works have largely been concerned with words which are placed on a horizontal or vertical line. Our word grouping algorithm can group words which are on inclined lines, intersecting lines, and even curved lines. To do this, we introduce the 3D neighborhood graph model which is very useful and efficient for character classification and word grouping. In the 3D neighborhood graph model, each connected component of a text image segment is mapped onto 3D space according to the area of the bounding box and positional information from the document. We conducted tests with more than 20 English documents and more than ten oriental documents scanned from books, brochures, and magazines. Experimental results show that more than 95% of words are successfully extracted from general documents, even in very complicated oriental documents. © 2001 Springer-Verlag Berlin Heidelberg.

关键词： Character recognition

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