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processing 3D scanner data for virtual reality

Processing 3D scanner data for virtual reality

引用

2010 10th International conference on Intelligent Systems Design and Applications, ISDA'10

作者： Szabó, Csaba Korečko, Štefan Sobota, Branislav Dept. of Computers and Informatics FEEI Technical University of Košice Košice Slovakia

ISBN: (纸本)9781424481354

Digitization of real objects into 3D models is a rapidly expanding field, with ever increasing range of applications. The most interesting area of its application is in the creation of realistic 3D scenes, i.e. virtual reality. It can be used in the entertainment industry, design, architecture and scientific research. This paper provides a brief summary of current 3D scanning technologies, deals with some aspects of data processing required to acquire a usable 3D model and presents various 3D visualization methods with focus on stereoscopy. This processing represents large graphical data processing also in parallel computer systems pertinently. © 2010 IEEE.

关键词： Stereo image processing

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Optimizing adaptive synchronization in parallel simulators for large-scale parallel systems and applications

Optimizing adaptive synchronization in parallel simulators f...

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10th IEEE International conference on Computer and Information Technology, CIT-2010, 7th IEEE International conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Xu, Chuanfu Che, Yonggang Fang, Jianbin Wang, Zhenghua National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769541082

This paper addresses the optimization of parallel simulators for large-scale parallel systems and applications. Such simulators are often based on parallel discrete event simulation with conservative or optimistic protocols to synchronize the simulating processes. The paper considers how available future information about events and application behaviors can be efficiently extracted and further exploited to improve the performance of adaptive optimistic protocols. First, we extract information about future events and their dependencies in application traces to guide adaptive adjustments of time window in trace-driven parallel simulation. Second, we use information about application behaviors, specifically the iterative behavior found in many applications, to avoid the unnecessary adjustments of time window. These techniques are implemented in the BigSim simulator and tested by real-world and standard benchmark applications including Jacobi3D and HPL. The results show that our optimization approaches can reduce the execution times of simulation ranging from 11% up to 32%. Moreover, our methods are easy to implement and don't need to augment compilers or even modify the core codes of parallel simulators. © 2010 IEEE.

关键词： Simulators

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parallel processing for Secret image Sharing

Parallel Processing for Secret Image Sharing

引用

International Symposium on parallel and distributed processing with Applications, ISPA

作者： Wen-Pinn Fang Department of Computer Science and Information Engineering Yuanpei University Hsinchu Taiwan

Secret image sharing is a method to transmit and store an image safely. The security of secret image sharing is based on the fact that the values are operated in the finite field and the number of pixels is high enough to ensure security. However, the time complexity to encode and decode a secret image is not acceptable in real-time application. There are some papers discussing how to upgrade the efficiency of encoding phase while few papers exploring how to decrease the decoding phase time. This paper proposes a method to achieve to speed up decoding phase by parallel processing.

关键词： Decoding Cryptography Complexity theory parallel processing Pixel Finite element methods conferences

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ECG Gated Tomographic reconstruction for 3-D Rotational Coronary Angiography

ECG Gated Tomographic reconstruction for 3-D Rotational Coro...

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32nd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Hu, Yining Xie, Lizhe Nunes, Jean Claude Bellanger, Jean Jacques Bedossa, Marc Toumoulin, Christine South East Univ LIST Nanjing 210096 Peoples R China Univ Rennes 1 Lab Traitment Signal Image F-35000 Rennes France CHU Rennes Dept Cardiol Interventionelle F-35033 Rennes France Ctr Recherche Informat Biomed Sino Francais F-35033 Rennes France Natl Inst Hlth & Med Res INSERM F-35000 Rennes France

ISBN: (纸本)9781424441242

A method is proposed for 3-D reconstruction of coronary from a limited number of projections in rotational angiography. A Bayesian maximum a posteriori (MAP) estimation is applied with a Poisson distributed projection to reconstruct the 3D coronary tree at a given instant of the cardiac cycle. Several regularizers are investigated L0-norm, L1 and L2-norm in order to take into account the sparsity of the data. Evaluations are reported on simulated data obtained from a 3D dynamic sequence acquired on a 64-slice GE LightSpeed CT scan. A performance study is conducted to evaluate the quality of the reconstruction of the structures.

关键词： 3-D rotational coronary angiography 3D coronary tree 3D dynamic sequence Bayes methods Bayesian maximum a posteriori estimation ECG gated tomographic reconstruction GE LightSpeed CT scan L0-norm L1 norm L2-norm Poisson distributed projection Poisson distribution angiocardiography cardiac cycle computerised tomography electrocardiography image reconstruction maximum likelihood estimation medical image processing rotational angiography

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Registration and analysis of x-ray images received from the system of radiographic control (SRC) "sibscan

Registration and analysis of x-ray images received from the ...

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IASTED International conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010

作者： Kulikov, V.A. Popov, S.A. Kirichuk, V.S. Institute of Automation and Electrometry SB RAS Ak. Koptyuga 1 Novosibirsk Russia

ISBN: (纸本)9780889868410

The paper presents the application of different filtering algorithms to simplify the search for suspicious objects on the X-ray image obtained by SRC "Sibscan". The basic idea of x-ray image filtering is an image contrast enhancement with minimal loss of information. We have proposed a new method of obtaining image luminance differences, allowing to identify 12 directions in the 35 * O (N) operations on the image. We had shown that the combination of the logarithm of the image and the image gradients can improve the visual quality of the latter. A study was conducted with existing methods of histogram equalization, in that study the method of adaptive histogram equalization had shown the best results. Combination of the adaptive equalized image and the image gradient corrects deficiencies of the equalization. Filtering algorithms were implemented in a software system, written on programming language C+ +. image processing takes 3 seconds on a standard PC with image size of 1000 by 1024 pixels, and can be accelerated on parallel computation using multiple cores in accordance to the technology OpenMP.

关键词： image enhancement

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Feature preserving consolidation for unorganized point clouds

Feature preserving consolidation for unorganized point cloud...

引用

IEEE International conference on Progress in Informatics and Computing (PIC)

作者： Li, Bao Jiang, Wei Cheng, Zhiquan Dang, Gang Jin, Shiyao National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424467860

We introduce a novel method for the consolidation of unorganized point clouds with noise, outliers, non-uniformities as well as sharp features. This method is feature preserving, in the sense that given an initial estimation of normal, it is able to recover the sharp features contained in the original geometric data which are usually contaminated during the acquisition. The key ingredient of our approach is a weighting term from normal space as an effective complement to the recently proposed consolidation techniques. Moreover, a normal mollification step is employed during the consolidation to get normal information respecting sharp features besides the position of each point. Experiments on both synthetic and real-world scanned models validate the ability of our approach in producing denoised, evenly distributed and feature preserving point clouds, which are preferred by most surface reconstruction methods. ©2010 IEEE.

关键词： Consolidation Feature preserving Point clouds Sharp features

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An Analysis of Depth Estimation within Interaction Range

An Analysis of Depth Estimation within Interaction Range

引用

IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Karaoguz, Cem Dankers, Andrew Rodemann, Tobias Dunn, Mark Univ Bielefeld Res Inst Cognit & Robot CoR Lab D-33594 Bielefeld Germany Honda Res Inst Europe GmbH D-63073 Offenbach Germany

ISBN: (纸本)9781424466757

Interactions between humans or humanoids and their environment through tasks like grasping or manipulation typically require accurate depth information. The human vision system integrates various monocular and binocular depth estimation mechanisms in order to achieve robust and reliable depth perception. Such an integrated approach can be applied to humanoid depth perception. Integration requires a knowledge of the characteristics of the methods being combined. Three different methods incorporating active vision (stereo disparity, vergence and familiar size) were statistically examined and combinations of these methods based on this statistical examination were investigated. We found evidence that active vision provides better depth estimations than the standard static-parallel stereo methods examined within interaction range and therefore is better suited for tasks like reaching, grasping and manipulation. We also demonstrate that a combination of methods have the potential to increase the accuracy of estimations.

关键词： binocular depth estimation mechanism grasping human vision humanoid humanoid robots manipulation monocular depth estimation mechanism robot vision spatial variables measurement statistical analysis stereo disparity method stereo image processing vergence method visual perception

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High dimensional image categorization

High dimensional image categorization

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6th International conference on Advanced Data Mining and Applications, ADMA 2010

作者： Poulet, François Pham, Nguyen-Khang University of Rennes I - IRISA Campus de Beaulieu 35042 Rennes Cedex France Cantho University 1 Ly Tu Trong street Cantho Viet Nam

ISBN: (纸本)3642173152

We are interested in varying the vocabulary size in the image categorization task with a bag-of-visual-words to investigate its influence on the classification accuracy in two cases: in the first one, both the test-set and the training set contains the same objects (with only different view points in the test-set) and the second one where objects in the test-set do not appear at all in the training set (only other objects from the same category appear). In order to perform these tasks, we need to scale-up the algorithms used to deal with millions data points in hundred of thousand dimensions. We present k-means (used in the quantization step) and SVM (used in the classification step) algorithms extended to deal with very large datasets. These new incremental and parallel algorithms can be used on various distributed architectures, like multi-thread computer, cluster or GPU (graphics processing units). The efficiency of the approach is shown with the categorization of the 3D-Dataset from Savarese and Fei-Fei containing about 6700 images of 3D objects from 10 different classes. The obtained incremental and parallel SVM algorithm is several orders of magnitude faster than usual ones (like lib-SVM, SVM-perf or CB-SVM) and the incremental and parallel k-means is at least one order of magnitude faster than usual implementations. © 2010 Springer-Verlag.

关键词： Graphics processing unit

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Robust image copy detection using multi-resolution histogram

Robust image copy detection using multi-resolution histogram

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2010 ACM SIGMM International conference on Multimedia Information Retrieval, MIR 2010

作者： Xu, Zhihua Ling, Hefei Zou, Fuhan Lu, Zhengding Li, Ping Intelligent and Distributed Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781605588155

This paper proposes a novel robust image copy detection scheme using multi-resolution histogram. In this method, the multi-resolution histogram, a global feature descriptor, is exploited to characterize an image. It shares many desirable properties with the plain color histogram including that they are both fast to compute, efficient for storage, invariant to rigid motions, and robust to noise. In addition, it encodes spatial information directly, which is essential to the discrimination of image signature for an image copy detection scheme. In order to verify the robustness of the proposed method, an intensive simulation has been performed. The experimental results demonstrate that our method is robust against both geometric distortions and signal-processing like attacks. P-R curves obtained under various attacks show that the performance of our method is better than such a few classical methods selected for comparison. Copyright 2010 ACM.

关键词： Feature extraction

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Proceedings of the 2010 International conference on image processing, Computer Vision, and Pattern Recognition, IPCV 2010

Proceedings of the 2010 International Conference on Image Pr...

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2010 International conference on image processing, Computer Vision, and Pattern Recognition, IPCV 2010

ISBN: (纸本)9781601321541

The proceedings contain 154 papers. The topics discussed include: mobile robot localization using grid texture on the ceiling and optimal extraction of parallel straight lines;robust 3D objects localization using hierarchical belief propagation in real world environment;a framework to measure the effectiveness of image representations;a simplified method for detecting road traffic signs using mobile camera;semiautomatic foreground extraction of animated cartoon character by area trace;automatic estrogens detection in breast tumor images treated with immune-histochemical techniques;determination of fingerprint reference point based on the relative relationship of orientation certainty values;comparison of two classification methods for feature extraction from lidar data in urban areas;a novel color image in-painting guided by structural similarity index measure and improved color angular radial transform;and a robust fuzzy and cellular learning automata edge detection and enhancement method.

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