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检索条件"任意字段=23rd ACM International Conference on 3D Web Technology"

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Target accurate positioning based on the point cloud created by stereo vision 23

Target accurate positioning based on the point cloud created...

引用

23rd international conference on Mechatronics and Machine Vision in Practice, M2VIP 2016

作者： Yuda, Mo Xiangjun, Zou Weiming, Situ Shaofeng, Luo Key Laboratory of Key Technology on Agriculture Machine and Equipment College of Engineering SCAU Guangzhou China

ISBN: (纸本)9781509027644

To solve the problem of workpiece target accurate positioning in industrial environment, we proposed a method that used object's surface point cloud which created by stereo matching of binocular vision. Firstly, found out the ROI(Region Of Interest) of the stereo matching point cloud by template matching, and used an algorithm of noise reduction to gain a clean ROI point cloud. And then, extracted the perfect point cloud of object's surface from object's 3d-model, and used improved iterative closest point algorithm to do point cloud registration that can gain the accurate pose of object. Experiment shows that positioning accuracy is less than 1.5 mm(Euclidean distance) which can meet the needs of industrial robot doing sorting or accurate grabing. © 2016 IEEE.

关键词： Stereo vision

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THE PROCESS OF dIGITIZING OF OLd GLOBE 23

THE PROCESS OF DIGITIZING OF OLD GLOBE

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23rd Congress of the international-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Ambrozova, K. Havrlant, J. Talich, M. Bohm, O. Res Inst Geodesy Topog & Cartog Vvi Ustecka 98 Zdiby 25066 Czech Republic

This paper describes the process of digitalization of old globes that brings with it the possibility to use globes in their digital form. Created digital models are available to the general public through modern technology in the Internet network. This gives an opportunity to study old globes located in various historical collections, and prevent damage of the originals. Another benefit of digitization is also a possibility of comparing different models both among themselves and with current map data by increasing the transparency of individual layers. digitization is carried out using special device that allows digitizing globes with a diameter ranging from 5 cm to 120 cm. This device can be easily disassembled, and it is fully mobile therefore the globes can be digitized in the place of its storage. Image data of globe surface are acquired by digital camera firmly fastened to the device. Acquired image data are then georeferenced by using a method of complex adjustment. The last step of digitization is publication of the final models that is realized by two ways. The first option is in the form of 3d model through JavaScript library Cesium or Google Earth plug-in in the web browser. The second option is as a georeferenced map using Tile Map Service.

关键词： globes digitizing device digital model complex adjustment 2d and 3d visualisation cultural heritage

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A FAST AdAPTIVE SPATIO-TEMPORAL 3d FEATURE FOR VIdEO-BASEd PERSON RE-IdENTIFICATION 23

A FAST ADAPTIVE SPATIO-TEMPORAL 3D FEATURE FOR VIDEO-BASED P...

引用

23rd IEEE international conference on Image Processing (ICIP)

作者： Liu, Zheng Chen, Jiaxin Wang, Yunhong Beihang Univ Sch Comp Sci & Engn Lab Intelligent Recognit & Image Proc Beijing 100191 Peoples R China

ISBN: (纸本)9781467399616

Video-based person re-identification has become a hot topic in the field of research on computer vision and intelligent surveillance, which is more robust to the variations in a person's appearance than single-shot based methods and involves space-time information. However, the most existing spatio-temporal features have been proposed for action recognition that they mainly focus on the exact spatial changes over time. Unlike action recognition, pedestrians captured in person re-identification problem show similar and cyclic walking activities. The essential spatio-temporal information for person re-identification is the statistical information over time. In this paper, we propose a novel spatio-temporal feature, namely Fast Adaptive Spatio-Temporal 3d feature (FAST3d), for video-based person re-identification. The feature is able to extract the statistical motion information based on densely computed multi-direction gradients and an adaptive fusion process. We evaluate our method on two challenging datasets and the experimental results show the effectiveness and efficiency of the proposed feature.

关键词： Person re-identification spatio-temporal feature efficient computation relevance metric learning

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Morse decomposition of 3d piecewise linear vector fields 23

Morse decomposition of 3D piecewise linear vector fields

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23rd Visualization and data Analysis conference, VdA 2016

作者： Berenjkoub, Marzieh Chen, Guoning Univeristy of Houston HoustonTX United States

Morse decomposition has been shown a reliable way to compute and represent vector field topology. Its computation first converts the original vector field into a directed graph representation, so that flow recurrent dynamics (i.e., Morse sets) can be identified as some strongly connected components of the graph. In this paper, we present a framework that enables the user to efficiently compute Morse decompositions of 3d piecewise linear vector fields defined on regular grids. Specifically, we extend the 2d adaptive edge sampling technique to 3d for the outer approximation computation of the image of any 3d cell for the construction of the directed graph. To achieve finer decomposition, a hierarchical refinement framework is applied to procedurally increase the integration steps and subdivide the underlying grids that contain certain Morse sets. To improve the computational performance, we implement our Morse decomposition framework using CUdA. We have applied our framework to a number of analytic and real-world 3d steady vector fields to demonstrate its utility. © 2016 Society for Imaging Science and technology.

关键词： Flow graphs

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Strain reliability and substrate specific features of passive UHF RFId textile tag antennas

Strain reliability and substrate specific features of passiv...

引用

23rd IEEE international conference on Electronics, Circuits and Systems, ICECS 2016

作者： Virkki, Johanna Bjorninen, Toni Akbari, Mitra Ukkonen, Leena Department of Electronics and Communications Engineering Tampere University of Technology Tampere Finland

ISBN: (纸本)9781509061136

We investigate the strain reliability of passive UHF RFId tags based on antennas printed on two structurally dissimilar textiles. The performance of the tags under strain and during repeated stretching cycles is evaluated through wireless measurements. Initially, both tags achieve read ranges of 9.5 meters and retain high readable ranges under notable, 20%, strain. Our results from a cyclic strain test evidence that the fabric substrate structure and elasticity play an important role in the reliability and recovery of printed thick-film conductors. © 2016 IEEE.

关键词： 3d printers

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Bag of Temporal Co-occurrence Words for Retrieval of Focal Liver Lesions Using 3d Multiphase Contrast-Enhanced CT Images 23

Bag of Temporal Co-occurrence Words for Retrieval of Focal L...

引用

23rd international conference on Pattern Recognition (ICPR)

作者： Xu, Yingying Lin, Lanfen Hu, Hongjie Wang, dan Liu, Yitao Wang, Jian Han, Xianhua Chen, Yen-Wei Zhejiang Univ Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China Sir Run Run Shaw Hosp Dept Radiol Hangzhou Zhejiang Peoples R China Ritsumeikan Univ Grad Sch Sci & Engn Shiga Japan

ISBN: (纸本)9781509048472

Computer-aided diagnosis (CAd) systems have been verified to have the potential to assist radiologists in clinical diagnosis to detect and characterize focal liver lesions (FLLs) based on single-or multiphase contrast-enhanced computed tomography (CT) images. Features extracted from multiphase contrast-enhanced CT images carry more important diagnostic information i.e. enhancement pattern and demonstrate much stronger discriminative ability compared to those of single-phase CT images. In this paper, we propose a new method for multiphase image feature generation called the bag of temporal co-occurrence words (BoTCoW). A temporal co-occurrence image connecting intensity from multiphase images is constructed. Then the bag of visual word (BoVW) model is employed on the temporal co-occurrence images to extract temporal features. The proposed method effectively captures temporal enhancement information and demonstrates the distribution of the evolution patterns. The effectiveness of this method is validated in a retrieval system using 132 FLLs with confirmed pathology type. The preliminary results show that the proposed BoTCoW method outperforms the previously proposed temporal features and multiphase features based on the BoVW model.

关键词： Computer-aided diagnosis (CAd) systems multiphase contrast-enhanced CT images enhancement pattern bag of visual words (BoVW) bag of temporal co-occurrence words (BoTCoW)

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Magnifying subtle facial motions for 4d Expression Recognition 23

Magnifying subtle facial motions for 4D Expression Recogniti...

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23rd international conference on Pattern Recognition, ICPR 2016

作者： Zhen, Qingkai Huang, di Wang, Yunhong drira, Hassen Amor, Boulbaba Ben daoudi, Mohamed IRIP Lab School of Computer Science and Engineering Beihang University China France

ISBN: (纸本)9781509048472

In this paper, we propose an effective approach for automatic 4d Facial Expression Recognition (FER). The flow of 3d facial scans is first modeled to capture spatial deformations based on the recently-developed Riemannian approach, namely dense Scalar Fields (dSF), where registration and comparison of neighboring 3d face frames are jointly led. The deformations are then fed into a temporal filtering based magnification step to amplify the slight facial actions over time. The proposed method allows revealing subtle (hidden) deformations which enhances the performance in classification. We evaluate our approach on the BU-4dFE dataset, and the state-of-art accuracy up to 94.18% is achieved, which is superior to the top one so far reported, clearly demonstrating its effectiveness. © 2016 IEEE.

关键词： deformation

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TOWArdS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANdSLIdE MONITORING SYSTEM UTILISING MOBILE ANd CLOUd COMPUTING technology 23

TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONI...

引用

23rd Congress of the international-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Chidburee, P. Mills, J. P. Miller, P. E. Fieber, K. d. Newcastle Univ Sch Civil Engn & Geosci Newcastle Upon Tyne NE1 7RU Tyne & Wear England James Hutton Inst Aberdeen AB15 8QH Scotland

Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of data in real-time. This research addresses the aforementioned issues by attempting to combine a mobile device with cloud computing technology to develop a photogrammetric measurement solution as part of a monitoring system for landslide hazard analysis. The research presented here focusses on (i) the development of an Android mobile application;(ii) the implementation of SfM-based open-source software in the Amazon cloud computing web service, and (iii) performance assessment through a simulated environment using data collected at a recognized landslide test site in North Yorkshire, UK. Whilst the landslide monitoring mobile application is under development, this paper describes experiments carried out to ensure effective performance of the system in the future. Investigations presented here describe the initial assessment of a cloud-implemented approach, which is developed around the well-known VisualSFM algorithm. Results are compared to point clouds obtained from alternative SfM 3d reconstruction approaches considering a commercial software solution (Agisoft PhotoScan) and a web-based system (Autodesk 123d Catch). Investigations demonstrate that the cloud-based photogrammetric measurement system is capable of providing results of centimeter-level accuracy, evidencing its potential to provide an effective approach for quantifying and analyzing landslide hazard at a local-scal

关键词： Structure-from-Motion (SfM) close range photogrammetry mobile device cloud computing landslide monitoring system

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FlowVisual: A visualization app for teaching and understanding 3d flow field concepts 23

FlowVisual: A visualization app for teaching and understandi...

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23rd Visualization and data Analysis conference, VdA 2016

作者： Wang, Man Tao, Jun Ma, Jun Shen, Yang Wang, Chaoli Michigan Technological University HoughtonMI United States University of Notre Dame Notre DameIN United States

The study of fluid behaviors has been a challenging topic. Flow visualization enables us to visually acquire qualitative and quantitative flow information. There exist various software tools performing different flow visualization tasks. However, we lack tools that help students learn important flow field concepts. In this paper, we present a visualization app, named FlowVisual which runs on iOS devices, to illustrate basic flow field concepts in 3d. In order to meet a comprehensive learning goal for stu- dents, we integrate a number of techniques into FlowVisual de- sign, including field-line tracing, field-line comparison, critical point detection and classification, template-based seeding, and surface visualization. We evaluate and demonstrate the effective- ness of FlowVisual by conducting a formal user study including an introduction and training session, an auto-grading test, and a post-questionnaire survey. © 2016 Society for Imaging Science and technology.

关键词： Flow fields

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Exploiting regions of influence to visualize class boundaries 23

Exploiting regions of influence to visualize class boundarie...

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23rd Visualization and data Analysis conference, VdA 2016

作者： Tinna, Pallav Karlapalem, Kamalakar Institute of Information Technology Hyderabad India IIIT-Hyderabad India

Interactive visualization and analysis of the class boundaries is important because it tells us how and why the classes differ. However, the problem of modeling the boundary of classes of arbitrary size, shape and density is challenging. The boundary of a class should not be limited to the points/shape which encloses the points within the class but it should be, the points/shape which encloses the region of influence of a class. The "region of influence" refers to the space around the class where any point lying within the region is likely to be classified to the class based on a nearest neighbor classifier. We have developed interactive boundary visualization toolkit for classified datasets which provides insights about the classifier model used on the dataset. Our algorithm first generates a candidate boundary set for each class based on reverse k-nearest neighbors approach and extends this boundary iteratively through the region of influence of the class. Further, we present these boundary points enclosing the region of influence as a linear approximated shape using triangulation techniques. We show experimental results on 2d and 3d datasets. © 2016 Society for Imaging Science and technology.

关键词： Visualization

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