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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
298 条 记 录,以下是81-90 订阅
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3D deformable surfaces with locally self-adjusting parameters - A robust method to determine cell nucleus shapes
3D deformable surfaces with locally self-adjusting parameter...
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International Conference on pattern recognition
作者: Keuper, Margret Schmidt, Thorsten Padeken, Jan Heun, Patrick Palme, Klaus Burkhardt, Hans Ronneberger, Olaf Pattern Recognition and Image Processing Computer Science Department Freiburg University Germany Max-Planck Institute of Immunobiology Freiburg Germany University of Freiburg Germany Inst. of Biology II Freiburg Inst. for Advanced Studies - FRIAS University of Freiburg Germany
When using deformable models for the segmentation of biological data, the choice of the best weighting parameters for the internal and external forces is crucial. Especially when dealing with 3D fluorescence microscop... 详细信息
来源: 评论
A Modified Numerical Integration Method for Deformable Object Animation
A Modified Numerical Integration Method for Deformable Objec...
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Asia Simulation Conference 2007, AsiaSim 2007
作者: Hu, Xinrong Wei, Lan Li, Dehua Dept. of Computer Science and Technology WuHan University of Science and Engineering WuHan 430074 China Institute for Pattern Recognition and Artificial Intelligence State Education Commission Laboratory for Image Processing and Intelligence Control HuaZhong Univ. of Science and Technology WuHan 430074 China
A satisfied deformable object simulation should be general, accurate, efficient and stable. Explicit, implicit and semi-implicit numerical integration methods have contributed to large performance enhancements in the ... 详细信息
来源: 评论
Exponential image Enhancement in Daytime Fog Conditions
Exponential Image Enhancement in Daytime Fog Conditions
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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014
作者: Mihai Negru Sergiu Nedevschi Radu Ioan Peter Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca head of the Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca Mathematics Department Technical University of Cluj-Napoca
The images captured in fog conditions have degraded contrast,that makes current image processing applications sensitive and error *** propose in this paper an efficient single image enhancement algorithm suitable for ... 详细信息
来源: 评论
Learning from partially labeled data  28
Learning from partially labeled data
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28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020
作者: Mehrkanoon, Siamak Huang, Xiaolin Suykens, Johan A.K. Department of Data Science and Knowledge Engineering Maastricht University Netherlands Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Department of Electrical Engineering ESAT-STADIUS KU Leuven LeuvenB-3001 Belgium
Providing sufficient labeled training data in many application domains is a laborious and costly task. Designing models that can learn from partially labeled data, or leveraging labeled data in one domain and unlabele... 详细信息
来源: 评论
Multi-Class Segmentation for Traffic Scenarios at Over 50 FPS
Multi-Class Segmentation for Traffic Scenarios at Over 50 FP...
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IEEE Intelligent Vehicles Symposium
作者: Arthur D. Costea Sergiu Nedevschi Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca Romania
Multi-class segmentation assigns a class label to each pixel in an image. It represents a significant task for the semantic understanding of images and has received plentiful attention over the last years. The current... 详细信息
来源: 评论
Moving rigid objects segmentation in 3D dynamic traffic scenes using a stereovision system
Moving rigid objects segmentation in 3D dynamic traffic scen...
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IEEE International Conference on Intelligent computer Communication and processing (ICCP)
作者: Catalin Golban Sergiu Nedevschi Computer Science Department Technical University Image Processing and Pattern Recognition Group Cluj-Napoca Romania
This paper proposes a novel method for detecting the moving vehicles in dynamic urban traffic scenes using a stereo camera. Relying on the fact that a set of feature points on a rigid 3D scene object are staying in a ... 详细信息
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Line-based cascade labeling algorithm for hyper-scale issue
Line-based cascade labeling algorithm for hyper-scale issue
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2nd International Conference on Multimedia Technology, ICMT 2011
作者: Zhao, Hualong Sang, Hongshi Zhang, Tianxu Fan, Yebin National Key Laboratory of Science and Technology on Multi-spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China
A fast and efficient algorithm is presented to label the connected components for binary image, especially for very huge images or any image larger than the available memory. The cascading style scheme compresses the ... 详细信息
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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC
GEMI: A high performance and high flexibility memory interfa...
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International Conference on computer science and Software Engineering, CSSE 2008
作者: Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China
Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several di... 详细信息
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MLPP: A modified version of locality preserving projection
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Journal of Computational Information Systems 2008年 第5期4卷 1891-1896页
作者: Zheng, Zhonglong Zhang, Haoran Yang, Fa Yang, Jie Department of Computer Science Zhejiang Normal University Jinhua 321004 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China
Locality Preserving Projection (LPP), as a linear manifold learning algorithm, has attracted much interests in recent years. LPP considers an n1× n2image as a vector in €n1×n2space, and thus is limited by th... 详细信息
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Grouping edge points into line segments by sequential Hough transformation
Grouping edge points into line segments by sequential Hough ...
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International Conference on pattern recognition
作者: Xiaofeng Zhang H. Burkhardt Chair of Pattern Recognition and Image Processing Department of Computer Science University of Freiburg Freiburg im Breisgau Germany
An algorithm to group edge points into digital line segments with Hough transformation is described. The edge points are mapped onto the parameter domain discretized at specific intervals, on which peaks appear to rep... 详细信息
来源: 评论