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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ernst Kruijff J. Edward Swan Steven Feiner Institute of Computer Graphics and Vision Graz University of Technology Austria Department of Computer Science and Engineering Mississippi State University USA Department of Computer Science Columbia University USA

This paper provides a classification of perceptual issues in augmented reality, created with a visual processing and interpretation pipeline in mind. We organize issues into ones related to the environment, capturing, augmentation, display, and individual user differences. We also illuminate issues associated with more recent platforms such as handhelds or projector-camera systems. Throughout, we describe current approaches to addressing these problems, and suggest directions for future research.

关键词： Image color analysis Lenses Cameras Visualization Lighting Adaptive optics Object segmentation

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A Novel Reversible Ternary Embedding Algorithm Based on Modified Full Context Prediction Errors

A Novel Reversible Ternary Embedding Algorithm Based on Modi...

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2016 IEEE International Conference on Signal and Image Processing

作者： Li Li Chin-Chen Chang K.Bharanitharan Yanjun Liu Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Department of Information Engineering and Computer Science Feng Chia University The Australian National University ACT

We propose a high capacity reversible ternary embedding-watermarking algorithm based on a modification of full-context-prediction-errors(MFCPE) wherein the binary bit stream is converted to the ternary stream then error histogram shifting is utilized to embed the ternary *** the existing predictor methods, we provide a full context prediction with a modification of each pixel at most by 1, which significantly reduces *** results confirm that the proposed algorithm achieves high PSNR while providing a higher embedding ***, results indicate that MFCPE outperforms the existing methods in terms of payload and the watermarked image quality.

关键词： reversible watermarking ternary embedding histogram shifting full context prediction

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STARBIST: scan autocorrelated random pattern generation 97

STARBIST: scan autocorrelated random pattern generation

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Proceedings of the 34th annual Design Automation Conference

作者： K. H. Tsai S. Hellebrand J. Rajski M. Marek-Sadowska Department of Electrical and Computer Engineering University of California Santa Barbara CA Institute of Computer Structures University of Siegen Siegen Germany Mentor Graphics Corporation Wilsonville OR

ISBN: (纸本)9780897919203

This paper presents a new scan-based BIST schemewhich achieves very high fault coverage without the deficienciesof previously proposed schemes. This approach utilizes scan orderand polarity in scan synthesis, effectively converting the scanchain into a ROM capable of storing some "center" patterns fromwhich the other vectors are derived by randomly complementingsome of their coordinates. Experimental results demonstrate that avery high fault coverage can be obtained without any modificationof the mission logic, no test data to store and very simple BISThardware which does not depend on the size of the circuit.

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Interactive planning of miniplates

Interactive planning of miniplates

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SPIE Medical Imaging 2017

作者： Gall, Markus Reinbacher, Knut Wallner, Jürgen Stanzel, Jan Chen, Xiaojun Schwenzer-Zimmerer, Katja Schmalstieg, Dieter Egger, Jan Graz University of Technology Institute for Computer Graphics and Vision Graz AustriaBioTechMed-Graz Graz Austria Medical University of Graz Department of Maxillofacial Surgery Graz AustriaMedArtis AG Basel Switzerland Shanghai Jiao Tong University School of Mechanical Engineering Shanghai China

In this contribution, a novel method for computer aided surgery planning of facial defects by using models of purchasable MedArtis Modus 2.0 miniplates is proposed. Implants of this kind, which belong to the osteosynthetic material, are commonly used for treating defects in the facial area. By placing them perpendicular on the defect, the miniplates are fixed on the healthy bone, bent with respect to the surface, to stabilize the defective area (Figure 1). Our software is able to fit a selection of the most common implant models to the surgeon's desired position in a 3D computer model. The fitting respects the local surface curvature and adjusts direction and position in any desired way. © 2017 SPIE.

关键词： Curve fitting

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Automated multi-contrast brain pathological area extraction from 2D MR images

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Journal of Applied Research and Technology 2015年第1期13卷 58-69页

作者： Dvořák, P. Bartušek, K. Kropatsch, W.G. Smékal, Z. Institute of Scientific Instruments of the ASCR V.v.i Academy if Sciences of the Czech Republic Brno Czech Republic Dept. of Telecommunications Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Faculty of Informatics Vienna University of Technology Vienna Austria

The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The proposed algorithm first detects the presence of pathology and then starts its extraction. T2 images are used for the presence detection and the multi-contrast MRI is used for the extraction, concretely T2 and FLAIR images. The extraction is based on thresholding, where Otsu's algorithm is used for the automatic determination of the threshold. Since the method is based on symmetry, it works for both axial and coronal planes. In both these planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. It is assumed that this area is not located symmetrically in both hemispheres, which is met in most cases. The detection algorithm was tested on 203 T2-weighted images and reached the true positive rate of 87.52% and true negative rate of 93.14%. The extraction algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D volumes brain tumor patients. The results were evaluated by Dice Coefficient (axial: 0.85 ± 0.11, coronal 0.82 ± 0.18) and by Accuracy (axial: 0.96 ± 0.05, coronal 0.94 ± 0.09). © 2015 Universidad Nacional Autónoma de México.

关键词： Brain Pathology Brain Tumor MRI Multi-contrast MRI Symmetry Analysis

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Experience using Bayesian segmentation on low-noise ultrasound images of residual limbs

Experience using Bayesian segmentation on low-noise ultrasou...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： M.C. Baker M.R. Stytz Virtual Environments 3D Medical Imaging and Computer Graphics Laboratory Department of Electrical and Computer Engineering Air Force Institute of Technology OH USA

To create a 3D rendering of an amputee's residual limb for a computer-Aided Socket Design software, the image data must be accurately segmented to extract the significant fit points for the limb. This paper reports on the use of a Bayesian segmentation approach created to be robust enough for speckle-laden or noisy images on relatively noise-free ultrasound images of a residual limb. The authors wanted to see if the algorithm would be able to produce a segmented image with improved detail given that the original image was free of noise. The algorithm provides a multi-resolution segmentation using the maximum a posteriori probability (MAP) densities based on modeling the a priori probability distribution with a Gibbs random field (GRF). The authors summarize the segmentation process which consists mainly of a filter-and-decimate procedure and an adaptive clustering algorithm. Their results on low noise ultrasound data indicate that the Bayesian approach does not improve noticeably better segmentation of detail in the image data.

关键词： Bayesian methods Ultrasonic imaging Image segmentation Clustering algorithms Rendering (computer graphics) Sockets Software design Data mining Noise robustness Probability distribution

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Numerical analysis of relaxation oscillators based on a differential geometric approach

Numerical analysis of relaxation oscillators based on a diff...

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International Conference on Signals and Electronic Systems, ICSES

作者： Tina Thiessen Martin Gutschke Philipp Blanke Wolfgang Mathis Franz-Erich Wolter Institute of Theoretical Electrical Engineering Welfenlab - Division of Computer Graphics Leibniz University of Hannover Hannover Germany Institute of Theoretical Electrical Engineering Leibniz University Hannover Hanover Germany

The difficulties to analyse the state space of a special class of nonlinear electronic circuits are illustrated and a new method to treat these problems is presented. Theoretical aspects of circuit equations from a differential geometric point of view are considered and methods for solving circuit equations by means of algorithms from computational differential geometry are presented. In this paper differential geometric methods were applied to a relaxation oscillator and numerical results were achieved. We describe the behaviour of an emitter-coupled multivibrator with differential algebraic equations and compute its state space numerically.

关键词： Manifolds Mathematical model Equations Oscillators Electronic circuits Integrated circuit modeling Geometry

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Drawing graphs with large vertices and thick edges

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8th International Workshop on Algorithms and Data Structures, WADS 2003

作者： Barequet, Gill Goodrich, Michael T. Riley, Chris Center for Graphics and Geometric Computing Dept. of Computer Science The Technion-Israel Institute of Technology Haifa32000 Israel Dept. of Information and Computer Science Univ. of California IrvineCA92697 United States Center for Algorithm Engineering Dept. of Computer Science Johns Hopkins University BaltimoreMD21218 United States

ISBN: (纸本)3540405453

We consider the problem of representing size information in the edges and vertices of a planar graph. Such information can be used, for example, to depict a network of computers and information traveling through the network. We present an efficient linear-time algorithm which draws edges and vertices of varying 2-dimensional areas to represent the amount of information flowing through them. The algorithm avoids all occlusions of nodes and edges, while still drawing the graph on a compact integer grid. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Clustering algorithms

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Hierarchical description of two dimensional shapes using a genetic algorithm

Hierarchical description of two dimensional shapes using a g...

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IEEE International Conference on Evolutionary Computation

作者： Peisuei Lee T. Nagao Computer Graphics Course Nippon Electronics College Tokyo Japan Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama Japan

A description method for arbitrary two dimensional shapes is proposed in this paper. When a 2D shape is given as a silhouette, its structure is automatically approximated by the use of a set of rectangles by the proposed method. Sizes, positions and rotational angles of the rectangles which approximate adequately the given 2D shape are searched by a genetic algorithm; GA. In our coding of GA, a chromosome of each individual is a bit string corresponding to parameter sets of several rectangles. Through a generation iteration, accuracy of approximation of the given 2D shape is improved. The total number of rectangles to be used for description is assumed to be given before shape description. By changing the total number of rectangles, hierarchical description of given 2D shapes is achieved. This method can be applied to shape description and object recognition in the field of computer vision and to abstraction of 2D shapes in the field of artistic applications by the use of computers.

关键词： Shape Genetic algorithms computer vision Art computer graphics Educational institutions Genetic engineering Laboratories Biological cells Object recognition

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STARBIST: scan autocorrelated Random pattern generation

STARBIST: scan autocorrelated Random pattern generation

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Design Automation Conference

作者： K. H. Tsai S. Hellebrand J. Rajski M. Marek-Sadowska Department of Electrical and Computer Engineering University of California Santa Barbara USA Institute of Computer Structures University of Siegen Siegen Germany Mentor Graphics Corporation Wilsonville OR USA

ISBN: (纸本)0897919203

This paper presents a new scan-based BIST scheme which achieves very high fault coverage without the deficiencies of previously proposed schemes. This approach utilizes scan order and polarity in scan synthesis, effectively converting the scanchain into a ROM capable of storing some "center" patterns from which the other vectors are derived by randomly complementing some of their coordinates. Experimental results demonstrate that a very high fault coverage can be obtained without anymodification of the mission logic, no test data to store and very simple BIST hardware which does not depend on the size of the circuit.

关键词： fault coverage scanning Random pattern flap Pattern generation observational data polarity

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