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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
302 条 记 录,以下是131-140 订阅
Incremental-decremental algorithm for computing AT-models and persistent homology
Incremental-decremental algorithm for computing AT-models an...
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Lecture Notes in computer science
作者: Gonzalez-Diaz, Rocio Ion, Adrian Jimenez, Maria Jose Poyatos, Regina School of Computer Engineering University of Seville Spain Pattern Recognition and Image Processing Group Vienna University of Technology Austria Institute of Science and Technology Austria
In this paper, we establish a correspondence between the incremental algorithm for computing AT-models [8,9] and the one for computing persistent homology [6,14,15]. We also present a decremental algorithm for computi... 详细信息
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Position identification by actively localizing spacial sound beacons
Position identification by actively localizing spacial sound...
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作者: Li, Huakang Huang, Jie Zhao, Qunfei School of Computer Science Engineering University of Aizu Aizuwakamatsu-shi 965-8580 Japan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China
In this paper, we propose a method for robot self-position identification by active sound localization. This method can be used for autonomous security robots working in room environments. A system using an AIBO robot... 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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Sampling step importance in hierarchical semantic segmentation of microscopic images
Sampling step importance in hierarchical semantic segmentati...
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International Conference on System Theory, Control, and Computing (ICSTCC)
作者: Cristian Smochina Vasile Manta Walter Kropatsch Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria
The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape,... 详细信息
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Double-Row Cascade Labeling Algorithm for Hyper-Scale Issue
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Procedia Engineering 2011年 15卷 4047-4051页
作者: Yebin Fan Hualong Zhao Department of Computer Science Huazhong University of Science and Technology 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
An efficient algorithm is presented to label the connected components in the case that the primary memory is smaller than the image data. Our algorithm uses only the memory of two image rows to label the huge image or... 详细信息
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Preliminary Design of a Terrain recognition System
Preliminary Design of a Terrain Recognition System
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society
作者: Fan Zhang Zheng Fang Ming Liu He Huang department of Electrical Computer and Biomedical Engineering University of Rhode Island National Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology
This paper aims to design a wearable terrain recognition system, which might assist the control of powered artificial prosthetic legs. A laser distance sensor and inertial measurement unit (IMU) sensors were mounted o... 详细信息
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Data classification on multiple manifolds
Data classification on multiple manifolds
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International Conference on pattern recognition
作者: Xiao, Rui Zhao, Qijun Zhang, David Shi, Pengfei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Department of Computer Science Hongkong Polytechnic University Hongkong Hong Kong
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside on different manifolds of possible dif... 详细信息
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Evaluation of a new point clouds registration method based on group averaging features
Evaluation of a new point clouds registration method based o...
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International Conference on pattern recognition
作者: Temerinac-Ott, Maja Keuper, Margret Burkhardt, Hans Department of Pattern Recognition and Image Processing Institute of Computer Science Albert-Ludwigs-University of Freiburg Germany Albert-Ludwigs-University of Freiburg Germany
Registration of point clouds is required in the processing of large biological data sets. The tradeoff between computation time and accuracy of the registration is the main challenge in this task. We present a novel m... 详细信息
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Laplacian MinMax discriminant projection and its applications
Laplacian MinMax discriminant projection and its application...
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作者: Zheng, Zhonglong Chang, Xueping Yang, Jie Department of Computer Science Zhejiang Normal University Jinhua China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
A new algorithm, Laplacian MinMax Discriminant Projection (LMMDP), is proposed in this paper for supervised dimensionality reduction. LMMDP aims at learning a discriminant linear transformation. Specifically, we defin... 详细信息
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Kernel ICA applied to feature extraction for image annotation
Kernel ICA applied to feature extraction for image annotatio...
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2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
作者: Xu, Bingxin Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China
In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which i... 详细信息
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