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International Conference on Pattern Recognition

作者： T. Schlogl C. Beleznai M. Winter H. Bischof Advanced Computer Vision GmbH-ACV Vienna Austria Program and System Engineering Siemens AG Österreich Graz Austria Institute of Computer Graphics and Vision University of Technology Graz Austria

This work introduces a methodology for evaluating the operational range of a video surveillance system in terms of robustness and reliability. We propose the generation of semi and full-synthetic video sequences under controlled variation of selected parameters. This data provides the necessary ground truth information for evaluating the motion detection and tracking systems. In addition, we propose several error metrics for quantitative evaluation.

关键词： Motion detection computer vision Video sequences Video surveillance computer errors Target tracking Motion segmentation Reliability engineering Systems engineering and theory computer graphics

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Multiple-contact representation for the real-time volume haptic rendering of a non-rigid object

Multiple-contact representation for the real-time volume hap...

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International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS)

作者： Sang-Youn Kim Jinah Park Dong-Soo Kwon Telerobotics & Control Laboratory Department of Mechanical Engineering Korea Advanced Institute of Science and Technology South Korea Computer Graphics & Visualization Laboratory School of Engineering ICU South Korea

ISBN: (纸本)0769521126

This paper presents a fast haptic rendering method providing the sense of touch from a virtual volumetric non-rigid object when a human operator interacts with the object at multiple points. Previously, we have proposed a fast volume haptic rendering method based on the shape-retaining chain linked model (or the S-chain model) that can handle the deformation of a volumetric non-rigid object and its haptic feedback in real time. One of the key differences between the S-chain model and a traditional FEM or mass-spring model is that the computation of the deformation and its reflected force is performed at a local level. When there are more than one interaction points with the object, it is necessary to consider a modeling framework that can handle human operator's all inputs together. In this paper, we propose a modeling framework in which forces generated at interaction points are vectorially summed to deal with the multiple contact points. Our experiments demonstrate that our proposed method is suitable for the real-time volume haptic rendering of a volumetric non-rigid object with multiple-contact points.

关键词： Haptic interfaces Humans Rendering (computer graphics) Computational modeling Deformable models Minimally invasive surgery Laboratories Feedback Telerobotics Mechanical engineering

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Variable Neighborhood Search for a Prize Collecting Capacity Constrained Connected Facility Location Problem

Variable Neighborhood Search for a Prize Collecting Capacity...

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Symposium on Applications and the Internet (SAINT)

作者： Markus Leitner Günther R. Raidl School of Telematics / Network Engineering Carinthia University of Applied Sciences Klagenfurt Austria Institute of Computer Graphics and Algorithms University of Technology Vienna Vienna Austria

We present a variable neighborhood search approach for a network design problem occurring in real world when the bandwidth of an existing network shall be enhanced. Using two different neighborhood structures we show that a carefully designed combination of a metaheuristic and an exact method based on integer linear programming is able to improve solution quality compared to using heuristic methods only.

关键词： Approximation methods Approximation algorithms Joining processes Fiber optics Optimization Force Algorithm design and analysis

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Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Cristian Smochina Vasile Manta Walter Kropatsch Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape, orientation or texture). In this paper we improve the technique presented in [17] used to identify the epithelial nuclei (crypt) against interstitial nuclei in microscopic images taken from colon tissues. In the proposed enhanced approach, the crypt inner boundary is detected using the closing morphological pyramid instead of morphological hierarchy. The outer crypt border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The use of sampling in building the pyramid offers computational efficiency, reduces the amount of used memory, increase the robustness and preserve the quality results. An analysis of the two approaches is performed considering the number of pixels processed to create each level. Also the relation between the levels of the hierarchical structures is established.

关键词： Cryptography Image segmentation Image reconstruction Image resolution Microscopy Buildings Shape

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A Watermark Extraction Model to Enhance the Correlation of Digimarc Plug-ins in Photoshop

A Watermark Extraction Model to Enhance the Correlation of D...

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Li Li Hehuan Xu Chin Chen Cheng Institute of Graphics and Image Hangzhou Dianzi University Hangzhou China Department of Information Engineering and Computer Science Feng Chia University FCU Taichung Taiwan

Considering the watermark as a noise, a watermark extraction model is proposed in this paper to enhance the correlation of Digimarc plug-ins in photoshop. First, an estimation of the original image for a watermarked image is obtained by TV (total variation) denoising model based on the partial differential equation. Second, watermark noise information is obtained by subtraction between the watermarked image and the estimated one. Finally, the correlation of watermark can be improved by magnifying the watermark noise. The experimental results show that the new watermark extraction model can enhance the correlation of the Digimarc plug-ins although its watermarking method is unknown.

关键词： Watermarking Data mining Copyright protection Noise robustness Authentication Gaussian noise Discrete cosine transforms Software tools Information security graphics

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Automating interface evaluation 94

Automating interface evaluation

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Conference Companion on Human Factors in Computing Systems

作者： Michael D. Byrne D. Wood Piyawadee Sukaviriya James D. Foley David Kieras Graphics Visualization and Usabitity Center Georgia Institute of Technology Atlanta GA Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI

No abstract available.

ISBN: (纸本)9780897916516

No abstract available.

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Reconstructing surfaces using anisotropic basis functions

Reconstructing surfaces using anisotropic basis functions

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International Conference on computer Vision (ICCV)

作者： Huong Quynh Dinh G. Turk G. Slabaugh Graphics Visualization and Usability CenterCollege of Computing Georgia Institute of Technology USA School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology USA

ISBN: (纸本)0769511430

Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotropic basis functions. Our reconstruction algorithm draws upon the work in variational implicit surfaces for constructing smooth and seamless 3D surfaces. Implicit functions are often formulated as a sum of weighted basis functions that are radially symmetric. Using radially symmetric basis functions inherently assumes, however that the surface to be reconstructed is, everywhere, locally symmetric. Such an assumption is true only at planar regions, and hence, reconstruction using isotropic basis is insufficient to recover objects that exhibit sharp features. We preserve sharp features using anisotropic basis that allow the surface to vary locally. The reconstructed surface is sharper along edges and at corner points. We determine the direction of anisotropy at a point by performing principal component analysis of the data points in a small neighborhood. The resulting field of principle directions across the surface is smoothed through tensor filtering. We have applied the anisotropic basis functions to reconstruct surfaces from noisy synthetic 3D data and from real range data obtained from space carving.

关键词： Surface reconstruction Anisotropic magnetoresistance Image reconstruction Surface fitting Optical noise Shape Polynomials computer vision Surface emitting lasers Space technology

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Computationally efficient and reliable fingerprint mosaicking on embedded hardware using minutiae

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Machine graphics and Vision 2004年第4期13卷 401-415页

作者： Ramoser, Herbert Birchbauer, Josef Bischof, Horst Advanced Computer Vision GmbH - ACV Donau-City-Strasse 1 1220 Wien Austria Siemens AG Österreich Program and System Engineering Graz Austria Institute for Computer Graphics and Vision Univ. of Technology Graz Austria

Fingerprint matching is a common technique for biometric authentication. Solid state sensors allow the use of fingerprint recognition in small sized embedded systems. The size of these sensors makes it necessary to store several impressions of the same finger to provide good coverage of the entire fingertip. In order to reduce memory requirements and matching time all these impressions can be fused into a single larger image. Memory constraints imposed by embedded computers prohibit the use of images. A fingerprint is therefore represented as a set of minutiae coordinates and minutiae angles. We present a two stage approach to combine two fingerprints. First, a RANSAC based method is used to determine a rigid transformation which roughly aligns the two fingerprints. Second, the transformation is optimised using a robust least median of squares solution. The reliability of the method is demonstrated on a large synthetic dataset and real fingerprint images. The computational complexity and memory requirements allow implementation of the algorithm on embedded hardware.

关键词： Pattern recognition

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Runtime Verification of JavaScript Implementations Using Aspect Oriented Programming and Regular Expressions

Runtime Verification of JavaScript Implementations Using Asp...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Luciano Pacione Dana K. Urribarri Martín L. Larrea Luciano H. Tamargo Dept. of Computer Science and Engineering Universidad Nacional del Sur Bahia Blanca Argentina Dept. of Computer Science and Engineering Computer Graphics and Visualization R&D Laboratory (CIC) Institute for Computer Science and Engineering (CONICET) Universidad Nacional del Sur Bahia Blanca Argentina Dept. of Computer Science and Engineering Institute for Computer Science and Engineering (CONICET) Universidad Nacional del Sur Bahia Blanca Argentina

ISBN: (数字)9798331540975

ISBN: (纸本)9798331540982

Runtime Verification is a software testing technique based on extracting and analyzing information from a system while it is running. The objective is to use this information to find faults or problems in the system under test. To achieve this, it is necessary that the insertion of testing logic does not modify the code being tested and that it does not affect the performance of the system. In this article, we present a runtime testing framework for JavaScript, which utilizes Aspect-Oriented Programming and regular expressions. This framework encapsulates the idea of Message Sequence Specification applied to Runtime Verification. Our work is freely available and open source.

关键词： Software testing Runtime Codes Programming Logic Data mining

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An effective mobile visual searching algorithm based on the bag-of-words method for furniture images

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Journal of Information Hiding and Multimedia Signal Processing 2016年第4期7卷 754-770页

作者： Li, Li Zheng, Dejie Lu, Jianfeng Mao, Xiaoyang Chang, Chin-Chen Institute of Graphics and Image Hangzhou Dianzi University HangzhouZhejiang310018 China University of Yamanash Japan Department of Information Engineering and Computer Science Feng Chia University Taichung40724 Taiwan

With the popularity of smart phones nowadays, image retrieval on mobile devices has been applied on a wider scale. To balance the efficiency and performance, an image retrieval algorithm which consists of two matching steps is proposed for furniture images captured by mobile devices (named mobile images). In the first stage, similar images are quickly obtained by the rough matching algorithm based on the bag-of-words (BOW) method. In the second stage, the most similar image is selected from the selection of similar images using the fine matching algorithm based on ORiented Brief (ORB).There are four main contributions in this paper. Firstly, add a spatial relationship to BOW features, an image is divided into three circular parts: the inner, middle and outer parts. Secondly, a feature point extraction method on concentric circles is proposed, which are resistant to geometric attack. Thirdly, the Gabor local line-based feature (GALIF) descriptor is improved by changing the filter object from the line to areas and overcome its weakness of low efficiency and rotation-sensitivity. Finally, a new image signature matching strategy is proposed based on Euclidean distance and a scale invariant feature to improve matching accuracy. Experimental results on a database with thousands of images show that our algorithm can retrieve mobile images quickly and precisely. © 2016.

关键词： Efficiency

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