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检索条件"机构=Image Processing and Pattern Recognition Research Center"
272 条 记 录,以下是41-50 订阅
排序:
Generalized stochastic tube model: Tracking 3D blood vessels in MR images  12
Generalized stochastic tube model: Tracking 3D blood vessels...
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12th IAPR International Conference on pattern recognition - Conference B: pattern recognition and Neural Networks, ICPR 1994
作者: Huang, Qian Stockman, George C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension ... 详细信息
来源: 评论
Real-time multi-resolution digital elevation map creation using the sensor model of a stereovision sensor
Real-time multi-resolution digital elevation map creation us...
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International Conference on Intelligent Transportation
作者: Szilárd Mandici Sergiu Nedevschi Image Processing and Pattern Recognition Research Group Technical University of Cluj-Napoca Romania
This paper presents an approach for constructing high quality Digital Elevation Maps (DEMs) from dense stereo data. As opposed to classical DEM creation algorithms, the proposed solution uses the sensor models of the ... 详细信息
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Model-based automatic recognition of blood vessels from MR images and its 3D visualization
Model-based automatic recognition of blood vessels from MR i...
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The 1994 1st IEEE International Conference on image processing
作者: Huang, Qian Stockman, G.C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
A model-based approach is used for recognizing arterial blood vessels from MRA volumetric data. The modeling includes (1) a generalized stochastic tube model characterizing the structural properties of the vessels, an... 详细信息
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Fast Pedestrian Detection for Mobile Devices
Fast Pedestrian Detection for Mobile Devices
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International IEEE Conference on Intelligent Transportation Systems
作者: Arthur Daniel Costea Andreea Valeria Vesa Sergiu Nedevschi Image Processing and Pattern Recognition Research Center Computer Science Department Technical University of Cluj-Napoca Romania
In this paper we present a fast and robust solution for pedestrian detection that can run in real time conditions even on mobile devices with limited computational power. An optimization of the channel features based ... 详细信息
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Motion constraint patterns
Motion constraint patterns
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1993 IEEE Workshop on Qualitative Vision, WQV 1993
作者: Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria
The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, ... 详细信息
来源: 评论
Accurate moving object detection in thermal imagery
Accurate moving object detection in thermal imagery
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IEEE International Conference on Computer Science and Automation Engineering (CSAE)
作者: Zhang, Yan Zhao, Ting Gu, Jian Yu, Shengyang Testing Center of Security Products for Computer Information System Ministry of Public Security Quality Supervision Ministry of Public Security Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
Accurate detection of moving object provides a fundamental capability that drives numerous high-level computer vision applications. In this paper, a novel algorithm is proposed to detect objects in widely varying ther... 详细信息
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A framework for nuclear image enhancement based on the Anscomb transform and the bayesian thresholding
A framework for nuclear image enhancement based on the Ansco...
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IEEE SSD International Multi-Conference on Systems, Signals and Devices
作者: Imen Mbazaa Najla Gribaa Nawres Khlifa Kamel Hamrouni Research Unit of Signal Processing Image Processing and Pattern Recognition National Engineering School of Sfax (ENIS) Tunisia
Scintigraphic imagery is an important data source since it provides morphological and functional clinical informations. However, scintigraphic images present very bad quality because of several degradation factors. In... 详细信息
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Robust Parametric and Semi-parametric Spot Fitting for Spot Array images  8
Robust Parametric and Semi-parametric Spot Fitting for Spot ...
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8th International Conference on Intelligent Systems for Molecular Biology, ISMB 2000
作者: Brändle, Norbert Chen, Horng-Yang Bischof, Horst Lapp, Hilmar Vienna University of Technology Pattern Recognition and Image Processing Group Treitlstr. 3/1832 ViennaA-1040 Austria Novartis Research Institute Vienna Genetics Brunner Str. 59 ViennaA-1230 Austria
In this paper we address the problem of reliably fitting parametric and semi-parametric models to spots in high density spot array images obtained in gene expression experiments. The goal is to measure the amount of l... 详细信息
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Ethnicity classification based on gait using multi-view fusion
Ethnicity classification based on gait using multi-view fusi...
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2010 IEEE Computer Society Conference on Computer Vision and pattern recognition - Workshops, CVPRW 2010
作者: Zhang, De Wang, Yunhong Bhanu, Bir Intelligent Recognition and Image Processing Laboratory Beihang University Beijing 100191 China Center for Research in Intelligent Systems University of California Riverside CA 92521 United States
The determination of ethnicity of an individual, as a soft biometrics, can be very useful in a video-based surveillance system. Currently, face is commonly used to determine the ethnicity of a person. Up to now, gait ... 详细信息
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A robust, real-time voice activity detection algorithm for embedded mobile devices
A robust, real-time voice activity detection algorithm for e...
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作者: Wu, Bian Ren, Xiaolin Liu, Chongqing Zhang, Yaxin Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China Motorola Labs. China Research Center 38F CITIC Sq. 1168 Nanjing Rd. W. Shanghai 200041 China
When an Automatic Speech recognition (ASR) system is applied in noisy environments, Voice Activity Detection (VAD) is crucial to the performance of the overall system. The employment of the VAD for ASR on embedded mob... 详细信息
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