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IEEE international symposium on Biomedical Imaging

作者： H. Langet C. Riddell Y. Trousset A. Tenenhaus E. Lahalle G. Fleury N. Paragios Department of Signal Processing and Electronic Systems Supélec Gif-sur-Yvette France Center for Visual Computing Ecole Centrale Paris Chatenay-Malabry France GE Healthcare Systems Buc France Center for Visual Computing Ecole des Ponts ParisTech Champs-sur-Marne France GALEN team INRIA Saclay île-de-France Orsay France

digital Subtraction Rotational Angiography (dSRA) is a clinical protocol that allows three-dimensional (3d) visualization of vasculature during minimally invasive procedures. C-arm systems that are used to generate 3d reconstructions in interventional radiology have limited sampling rate and thus, contrast resolution. To address this particular subsampling problem, we propose a novel iterative reconstruction algorithm based on compressed sensing. To this purpose, we exploit both spatial and temporal sparsity of dSRA. For computational efficiency, we use a proximal implementation that accommodates multiple ℓ 1 -penalties. Experiments on both simulated and clinical data confirm the relevance of our strategy for reducing subsampling streak artifacts.

关键词： Image reconstruction Standards Compressed sensing Angiography Protocols Bones Minimization

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Compression of structured 3-d model geometry with multiresolution decomposition by decoded coefficient prediction

Compression of structured 3-D model geometry with multiresol...

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IEEE international symposium on Signal processing and Information Technology (ISSPIT)

作者： Yuki Hisano Masayuki Amano Akira Kawanaka Faculity of Science and Technology Sophia University Chiyoda Tokyo Japan

ISBN: (纸本)9781467356053

In this paper, we propose a new compression method for geometry data of 3-d mode using decoded coefficient prediction based on the structuring of surrounding vertices. We have proposed the structuring procedure of surrounding 3-d vertices on a 2-d plane to obtain 2-d structured geometry data. In this paper, multiresolution decomposition by decoded coefficient prediction decomposes structured geometry data in consideration of correlations between adjacent vertices. The decomposition processing gives four components in one step according to where each vertex is located in the structured geometry data and the prediction is performed. In the prediction process, the predicted value is obtained from decoded coefficients of the processed vertices adjacent to the target vertex in the polygonal mesh. Experimental results show that the proposed method gives better coding performance, in particular at higher coding rates, than conventional coding methods.

关键词： Encoding data models Image coding Solid modeling Predictive models data visualization Image color analysis

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An application-oriented review of CogInfoCom: The state-of-the-art and future perspectives

An application-oriented review of CogInfoCom: The state-of-t...

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international symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Adam Csapo Peter Baranyi Computer and Automation Research Institute Budapest Hungary Department of Telecommunications and Media Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary

Cognitive Infocommunications (CogInfoCom) is an emerging discipline that investigates synergies between infocommunications and the cognitive sciences, with the goal of creating engineering applications in which systems with various levels of cognitive capability are enabled to work together more effectively. While infocommunications deals with the error-free encoding, transmission and decoding of raw data, CogInfoCom aims to transmit information at a higher, conceptual level in a way that appeals to the receiver's cognitive capabilities. Thus, CogInfoCom may have implications for a wide variety of fields in the future, including virtual reality, 3d Internet and Internet of Things. In this paper, we provide a brief, application-oriented overview of the existing background of CogInfoCom, and outline future perspectives for the field.

关键词： Internet visualization Force feedback Humans Informatics Skin

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Graph-Based Volumetric data Segmentation on a Hexagonal-Prismatic Lattice

Graph-Based Volumetric Data Segmentation on a Hexagonal-Pris...

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international symposium on Multimedia Applications and processing

作者： Mihai Popescu Razvan Tudor Tanasie Department of Software Engineering Faculty of Automatics Computers and Electronics University of Craiova Romania

ISBN: (纸本)9781467307086

In this paper we present a graph-based volumetric data segmentation method based on a 3d hexagonal prismatic lattice. We evaluate the advantages and disadvantages of using this lattice in contrast with classic ones. One of the main advantages are high isoperimetric quotient, near equidistant neighbours (ability to represent curves better, resulting in a better segmentation) and high connectivity. disadvantages are due to the main stream lack of interest in this area and thus data sets must be converted back and forth from rectangular to hexagonal latices both in acquisition and visualization processes.

关键词： volumetric segmentation hexagonal lattice

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Performance Study of SIMd Programming Models on Intel Multicore Processors

Performance Study of SIMD Programming Models on Intel Multic...

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IEEE international symposium on Parallel and distributed processing Workshops and Phd Forum (IPdPSW)

作者： Peter Kristof Hongtao Yu Zhiyuan Li Xinmin Tian Department of Computer Science Purdue University West Lafayette IN USA Mobile Computing and Compilers SSG Intel Corporation Santa Clara CA USA

ISBN: (纸本)9781467309745

Modern multicore hardware employs a variety of parallel execution units, including multiple CPU cores for executing multiple threads simultaneously, vector units such as the Intel SIMd on the CPU cores, as well as GPU-like processing arrays. Availability of such unprecedented level of parallelism on main-stream computers offers an enormous potential to enable a new generation of computation-intensive nontraditional applications. On the other hand, how to best harness the hardware parallelism presents a new challenge to application programmers, language designers and compiler developers. In this paper, we evaluate the impact of several different parallel execution models, especially the new SIMd vectorization methods, supported by the latest Intel ICC compiler (version 12.1), using three computation-intensive nontraditional parallel applications as the test workload. Unlike traditional numerical programs, these applications use highly irregular data structures and therefore present nontrivial challenges to effective use of SIMd vector units. The first application is a game engine architecture requiring real-time performance. The second application involves a kd-tree traversal, which is typical to the state-of-the-art 3d ray-tracing applications. The last application processes data for large-scale weather visualization system in the order of tens of minutes. We compare the execution time of these codes using different SIMd models supported by ICC in conjunction with parallel threading under TBB and OpenMP.

关键词： Vectors Games Program processors Parallel processing Engines Benchmark testing Computational modeling

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Analysis and 3d visualization modeling of airborne laser scanning data

Analysis and 3D visualization modeling of airborne laser sca...

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international symposium on Photoelectronic detection and Imaging 2011 - Laser Sensing and Imaging and Biological and Medical Applications of Photonics Sensing and Imaging

作者： Liu Qi Wang Lu-qiang Tianjin Jinhang Inst Tech Phys Tianjin 300192 Peoples R China

ISBN: (纸本)9780819488336

Airborne laser scanning (ALS) is an active remote sensing technique that can provide 3d information about the scene. Over the last few years, ALS has proved its capability of rapid acquisition of accurate topographic data. With the advantages of high accuracy, ALS data has become an accepted data source for highly automated acquisition of digital surface models (dSM) as well as for the generation of digital elevation models (dEM) which have been used in many applications such as civic planning, military navigation and natural hazard risk assessment. To utilize the 3d data provided by the ALS systems however, efficient methods for data processing and model construction needs to be developed. In this paper some recent technique on analysis and visualization modelling of ALS data will be presented. After the brief presentation of the ALS system, the computation of ALS data is introduced. The data processing chain for producing dSM is outlined. A data filtering method is proposed for generating dEM. A 3d visualization modelling study on ground scene is carried out and the framework of establishing visualization of dSM and dEM using ALS data is brought as well.

关键词： airborne laser scanning digital elevation models visualization modeling morphological filter

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3d data segmentation by local classification and Markov Random Fields

3D data segmentation by local classification and Markov Rand...

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2011 international Conference on 3d Imaging, Modeling, processing, visualization and transmission, 3dIMPVT 2011

作者： Tombari, Federico di Stefano, Luigi DEIS-ARCES University of Bologna Bologna Italy

ISBN: (纸本)9780769543697

Object segmentation in 3d data such as 3d meshes and range maps is an emerging topic attracting increasing research interest. This work proposes a novel method to perform segmentation relying on the use of 3d features. The deployment of a specific grouping algorithm based on a Markov Random Field model successively to classification allows at the same time yielding automatic segmentation of 3d data as well as deploying non-linear classifiers that can well adapt to the data characteristics. Moreover, we embed our approach in a framework that jointly exploits shape and texture information to improve the outcome of the segmentation stage. In addition to quantitative results on several 3d and 2.5d scenes, we also demonstrate the effectiveness of our approach on an online framework based on a stereo sensor. © 2011 IEEE.

关键词： Classification (of information)

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A performance evaluation of 3d keypoint detectors

A performance evaluation of 3d keypoint detectors

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2011 international Conference on 3d Imaging, Modeling, processing, visualization and transmission, 3dIMPVT 2011

作者： Salti, Samuele Tombari, Federico di Stefano, Luigi DEIS University of Bologna Bologna Italy

ISBN: (纸本)9780769543697

Intense research activity on 3d data analysis tasks, such as object recognition and shape retrieval, has recently fostered the proposal of many techniques to perform detection of repeatable and distinctive keypoints in 3d surfaces. This high number of proposals has not been accompanied yet by a comprehensive comparative evaluation of the methods. Motivated by this, our work proposes a performance evaluation of the state-of-the-art in 3d keypoint detection, mainly addressing the task of 3d object recognition. The evaluation is carried out by analyzing the performance of several prominent methods in terms of robustness to noise (real and synthetic), presence of clutter, occlusions and point-of-view variations. © 2011 IEEE.

关键词： Object recognition

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Fast and robust generation of city-scale seamless 3d urban models

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COMPUTER-AIdEd dESIGN 2011年第11期43卷 1380-1390页

作者： Lu, Yanyan Behar, Evan donnelly, Stephen Lien, Jyh-Ming Camelli, Fernando Wong, david George Mason Univ Dept Comp Sci Fairfax VA 22030 USA George Mason Univ Dept Computat Data Sci Fairfax VA 22030 USA George Mason Univ Dept Earth Syst & GeoInformat Sci Fairfax VA 22030 USA

Since the introduction of the concept of "digital Earth", almost every major international city has been re-constructed in the virtual world. A large volume of geometric models describing urban objects has become freely available in the public domain via software like ArcGlobe and Google Earth. Although mostly created for visualization, these urban models can benefit many applications beyond visualization including city scale evacuation planning and earth phenomenon simulations. However, these models are mostly loosely structured and implicitly defined and require tedious manual preparation that usually takes weeks if not months before they can be used. designing algorithms that can robustly and efficiently handle unstructured urban models at the city scale becomes a main technical challenge. In this paper, we present a framework that generates seamless 3d architectural models from 2d ground plans with elevation and height information. These overlapping ground plans are commonly used in the current GIS software such as ESRI ArcGIS and urban model synthesis methods to depict various components of buildings. due to measurement and manual errors, these ground plans usually contain small, sharp, and various (nearly) degenerate artifacts. In this paper, we show both theoretically and empirically that our framework is efficient and numerically stable. Based on our review of the related work, we believe this is the first work that attempts to automatically create 3d architectural meshes for simulation at the city level. With the goal of providing greater benefit beyond visualization from this large volume of urban models, our initial results are encouraging. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Geometry processing Model synthesis and repair Urban model Physically-based simulation

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Efficient processing of large 3d point clouds

Efficient processing of large 3D point clouds

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2011 23rd international symposium on Information, Communication and Automation Technologies, ICAT 2011

作者： Elseberg, Jan Borrmann, dorit Nüchter, Andreas School of Engineering and Science Jacobs University Bremen gGmbH 28759 Bremen Germany

ISBN: (纸本)9781457707469

Autonomous robots equipped with laser scanners acquire data at an increasingly high rate. Registration, data abstraction and visualization of this data requires the processing of a massive amount of 3d data. The increasing sampling rates make it easy to acquire Billions of spatial data points. This paper presents algorithms and data structures for handling this data. We propose an efficient octree to store and compress 3d data without loss of precision. We demonstrate its usage for fast 3d scan matching and shape detection algorithms. We evaluate our approach using typical data acquired by mobile scanning platforms. © 2011 IEEE.

关键词： data handling

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