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Enhanced image processing pipeline and parallel generation of multiscale tiles for web-based 3d rendering of whole mouse brain vascular networks

Enhanced image processing pipeline and parallel generation o...

引用

3rd international conference on pattern recognition Applications and Methods, ICPRAM 2014

作者： Kwon, Jaerock Department of Electrical and Computer Engineering Kettering University Flint MI United States

ISBN: (纸本)9789897580185

Mapping out the complex vascular network in the brain is critical for understanding the transport of oxygen, nutrition, and signaling molecules. The vascular network can also provide us with clues to the relationship between neural activity and blood oxygen-related signals. Advanced high-throughput 3D imaging instruments such as the Knife-Edge Scanning Microscope (KESM) are enabling the imaging of the full vascular network in small animal brains (e.g., the mouse) at sub-micrometer resolution. The amount of data per brain (for KESM) is on the order of 2TB, thus it is a major challenge just to visualize it at full resolution. In this paper, we present an enhanced image processing pipeline for KESM mouse vascular network data set, and a parallel multi-scale tile generation system for web-based pseudo-3D rendering. The system allows full navigation of the data set at all resolution scales. We expect our approach to help in broader dissemination of large-scale, high-resolution 3D microscopy data. Copyright © 2014 SCITEPRESS.

关键词： Mammals

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Structure from motion;ToF-aided 3D reconstruction of isometric surfaces

Structure from motion;ToF-aided 3D reconstruction of isometr...

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3rd international conference on pattern recognition Applications and Methods, ICPRAM 2014

作者： Jafar Hosseini, S. Araujo, Helder Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal

ISBN: (纸本)9789897580185

This paper deals with structure-from-motion (SfM) for non-rigid surfaces that undergo isometric motion. Our SfM framework aims at the joint estimation of the 3D surface and the camera motion by combining a ToF range sensor and a monocular RGB camera through a template-based approach. Our goal is to use the 2D low-resolution depth estimates provided by the TOF camera, in order to facilitate the estimation of non-rigid structure using the high-resolution images obtained by means of a RGB camera. In this paper, we model isometric surfaces with a triangular mesh. The ToF sensor is used to obtain the depth of a sparse set of 3D feature points, from which the depth of the mesh vertices can be recovered using a multivariate linear system. Subsequently, we form a non-linear constraint based on the projected length of each edge. A second non-linear constraint is then used for minimizing re-projection errors. These constraints are finally incorporated into an optimization scheme to solve for structure and motion. Experimental results show that the proposed approach has good performance even if only a low-resolution depth image is used. Copyright © 2014 SCITEPRESS.

关键词： Linear systems

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Introducing an experimental framework in C# for fingerprint recognition

Introducing an experimental framework in C# for fingerprint ...

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6th Mexican conference on pattern recognition, MCPR 2014

作者： Medina-Pérez, Miguel Angel Loyola-González, Octavio Gutierrez-Rodríguez, Andres Eduardo García-Borroto, Milton Altamirano-Robles, Leopoldo Instituto Nacional de Astrofísica Óptica Y Electrónica Luis Enrique Erro No. 1 Sta. María Tonanzintla Puebla C.P. 72840 Mexico Centro de Bioplantas Universidad de Ciego de Ávila Carretera a Morón km 9 Ciego de Ávila Cuba Instituto Superior Politécnico José A. Echeverría C. 114 No. 11901 e/ Ciclovia y Rotonda Apdo. 6028 Marianao Habana Cuba

ISBN: (纸本)9783319074900

In this paper, a framework for fingerprint recognition is introduced. The framework contains several algorithms for fingerprint matching and feature extraction, as well as the evaluation protocol for several fingerprint verification competitions. All the algorithms are implemented in C# providing the source code which researchers can review, reuse or modify. In order to show the framework relevance, an experimental comparison among different matching algorithms is presented. © 2014 Springer international Publishing.

关键词： pattern matching

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Toward moving objects detection in 3D-lidar and camera data

Toward moving objects detection in 3D-lidar and camera data

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3rd international conference on pattern recognition Applications and Methods, ICPRAM 2014

作者： Deymier, Clement Chateau, Thierry Lasmea-UMR-CNRS 6602 Campus des Cezeaux 24 Avenue des Landais 63177 Aubiere Cedex France

ISBN: (纸本)9789897580185

In this paper, we propose a major improvement of an algorithm named IPCC (Clement Deymier, 2013a) for Iterative Photo Consistency-Check. His goal is to detect a posteriori moving objects in both camera and rangefinder data. The range data may be provided by different sensors such as: Velodyne, Riegl or Kinect with no distinction. The main idea is to consider that range data acquired on static objects are photo-consistent, they have the same color and texture in all the camera images, but range data acquired on moving object are not photo-consistent. The central matter is to take into account that range sensor and camera are not synchronous, so what is seen in camera is not what range sensors acquire. This work propose to estimate photo-consistency of range data by using his 3D neighborhood as a texture descriptor wich is a major improvement of the original method based on texture patches. A Gaussian mixture method has been developed to deal with occluded background. Moreover, we will see how to remove non photo-consistent range data from the scene by an erosion process and how to repair images by inpainting. Finally, experiments will show the relevance of the proposed method in terms of both accuracy and computation time. Copyright © 2014 SCITEPRESS.

关键词： Cameras

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Automatic Identification of Drinking Activities at Home using Depth Data From RGB-D Camera 3

Automatic Identification of Drinking Activities at Home usin...

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3rd international conference on Control, Automation and Information Sciences (ICCAIS)

作者： Tham, Jie Sheng Chang, Yoong Choon Fauzi, Mohammad Faizal Ahmad Multimedia Univ Fac Engn Cyberjaya Malaysia

ISBN: (纸本)9781479972043

With the increasing elderly population all around the world, the healthcare services to elderly has become more important. Dementia is one of the common cognitive problems among the elderly population where a basic daily dining activity could be difficult for them to perform. Drinking activities is one of the most important daily needs to keep a person away from dehydrating. Most of the existing works on dining activities recognitions are mainly based on wearable sensors and sensor rich eating utensil. Although the accuracy for sensor based techniques is high, some of the elderly might be reluctant to wear, and some might even forgot to wear altogether. In this paper, we propose a novel system that is purely based on depth data from an RGB-D camera for drinking activities recognition. Dynamic time warping algorithm is used to recognize and detect the drinking activities.

关键词： Dining activity recognition computer vision ambient assisted living image and video processing pattern recognition

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Degradation Mode recognition for Battery of Electric Vehicle Based on ART2 Network

Degradation Mode Recognition for Battery of Electric Vehicle...

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3rd international conference on Mechanical Materials and Manufacturing Engineering (ICMMME 2013)

作者： Yu, Gang Guo, Mimi Shenzhen Grad Sch Harbin Inst Technol Sch Mech Engn & Automat Shenzhen Key Lab Digital Mfg Technol Shenzhen Peoples R China

ISBN: (纸本)9783037859223

In the process of describing the degradation process of battery of electric vehicle, degradation models under dynamic running conditions need to be analyzed in order to effectively forecast the remaining useful mileage and life of battery. This paper proposed a new method of pattern recognition based on ART2 network to distinguish the degradation mode of the battery of electric vehicle. First, the degradation mechanism is analyzed of the battery to extract the features of degradation process. Then the learning process of ART2 is designed for recognition of the degradation mode. After that, HMM is applied to research the dynamic changes of the degradation mode and predict future degradation mode sequences. Finally, experimental analysis based on battery's charge and discharge data proves the effectiveness of the proposed approach.

关键词： Battery Degradation mode ART2 pattern recognition

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P-box Theory and SVM Methods with Application in pattern recognition 3

P-box Theory and SVM Methods with Application in Pattern Rec...

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3rd international conference on Advanced Engineering Materials and Architecture Science (ICAEMAS)

作者： Ding Jiaman Du Yi Wang Qingxin Jiang Ying Jia Lianyin Kunming Univ Sci & Technol Yunnan Prov Key Lab Comp Technol Applicat Kunming 650500 Peoples R China Kunming Univ Sci & Technol City Coll Kunming 650500 Peoples R China

ISBN: (纸本)9783038352679

In order to solve the problem of the information loss on the feature extraction process in the traditional pattern recognition, a new method based on probability boxes theory was proposed. Firstly, the skewness of the fault signal data were used as the information source to construct the tow p-boxes about X and direction. Then, to take advantage of the complementation of the information source, the tow p-boxes from different directions were fused. Finally, the SVM features database was established by extracting different types of cumulative uncertainty measures from p-boxes. The analysis result shows that the combination of p-box and SVM can achieve a high recognition rate, which makes a new way for pattern recognition.

关键词： pattern recognition Uncertainty Probability box SVM Fusion

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Validation of XML document content using ontology

Validation of XML document content using ontology

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international conference on Artificial Intelligence and pattern recognition, AIPR 2014

作者： Norimatsu, Shinji Murakami, Kenji Takahashi, Hiroshi LEGAL CORPORATION 248-3 Shigemitsu Tobe-cho Iyo-gun Ehime791-2112 Japan Ehime University 3 Bunkyo-cho Matsuyama Ehime790-8577 Japan

The spread of the Internet has introduced many online government forms and electronic commerce applications using standard forms defined in the XML format. In case of fields that require specialized knowledge of a certain field, it is important not only to verify XML format but also to verify the validity of the form or transaction data before transmission. In this paper, we propose a validation system to perform verification on the basis of the XML document content. The feature of the proposed system is to construct ontologies using OWL, SWRL and extended rules. And it is to execute reasoning using these ontologies to judge the validity of the document content. To demonstrate usefulness in a use case of the proposed method, we present a validation system for a Japanese real property registration application. © (2014) by Society of Digital Information and Wireless Communication (SDIWC). All rights reserved.

关键词： Ontology

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6th Mexican conference onpattern recognition, MCPR 2014

6th Mexican Conference onPattern Recognition, MCPR 2014

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6th Mexican conference on pattern recognition, MCPR 2014

ISBN: (纸本)9783319074900

The proceedings contain 39 papers. The special focus in this conference is on pattern recognition and Artificial Intelligence. The topics include: Weighted maximum variance dimensionality reduction;improved performance of computer networks by embedded pattern detection;a family of two-dimensional benchmark data sets and its application to comparing different cluster validation indices;multilayer neural network with multi-valued neurons in time series forecasting of oil production;developing architectures of spiking neural networks by using grammatical evolution based on evolutionary strategy;problem solving environment based on knowledge based system principles;positive and negative local trend association patterns in analysis of associations between time series;an effective permutant selection heuristic for proximity searching in metric spaces;contextualized hand gesture recognition with smartphones;a feasibility study on the use of binary keypoint descriptors for 3D face recognition;an approach for multi-pose face detection exploring invariance by training;assembling similar tracking approaches in order to strengthen performance;real-time classification of lying bodies by hog descriptors;wavelet filter adjusting for image lossless compression using pattern recognition;a new retinal recognition system using a logarithmic spiral sampling grid;a semi-supervised puzzle-based method for separating the venous and arterial vascular networks in retinal images;thermal image processing for breast symmetry detection oriented to automatic breast cancer analysis;relevance feedback in biometric retrieval of animal photographs and applying mathematical morphology for the classification of Iberian ceramics from the upper valley of guadalquivir river.

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Resource acceleration of autonomous stochastic moving multi-agents with boundary effects

Resource acceleration of autonomous stochastic moving multi-...

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international conference on Artificial Intelligence and pattern recognition, AIPR 2014

作者： Shioya, Isamu Hosei University Kajino-cho 3-7-2 Koganei-shi Tokyo184-8584 Japan

Autonomous stochastic moving multi-agents are not easy to analyze the behavior of them. We consider a resource consisting of cells arranged along lines, and restrict moving ranges of agents at each step so that their agents have time-lag. We assume there are interaction among agents, so each agent can not move to destination cells when their cells are occupied by agents more than the agents of current cells. Then, every cells are always desirable to be occupied by moving agents, because of higher resource utilization of cells. We show that the resource utilization of stochastic autonomous multi-agents moving on finite resources becomes higher if we introduce an accelerated mobile speed of diffusion processes considering boundary effect on resources. © (2014) by Society of Digital Information and Wireless Communication (SDIWC). All rights reserved.

关键词： Cells

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