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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
301 条 记 录,以下是141-150 订阅
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Text Scanner with text detection technology on image sequences
Text Scanner with text detection technology on image sequenc...
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作者: Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, JungHyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of
We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron... 详细信息
来源: 评论
Extraction of complex wavelet features for iris recognition
Extraction of complex wavelet features for iris recognition
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International Conference on pattern recognition
作者: Xiaofu He Pengfei Shi Department of Computer Science and Technology East China Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shandong Jiaotong University Shanghai China
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transformpsilas properties of multiresolution decomposition... 详细信息
来源: 评论
Noise Tolerance of Linear vs Non-Linear LiDAR Based Ego-Motion Drift Correction Methods
Noise Tolerance of Linear vs Non-Linear LiDAR Based Ego-Moti...
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IEEE International Conference on Intelligent computer Communication and processing (ICCP)
作者: Corvin-Petruț Cobârzan Cătălin-Cosmin Golban Sergiu Nedevschi Computer Science Department Technical University of Cluj-Napoca Romania Image Processing and Pattern Recognition Group Technical University of Cluj-Napoca Romania
We have previously proposed a linear approach for reducing the global drift of a video-based frame-to-frame trajectory estimation method by correcting it at selected points in time based on the alignment of past and c... 详细信息
来源: 评论
Comparative studies of Feature Extraction methods with application to face recognition
Comparative studies of Feature Extraction methods with appli...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Yunfei Jiang Ping Guo Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China
In face recognition, the dimensionality of raw data is very high, dimension reduction (feature extraction) should be applied before classification. There exist several feature extraction methods, commonly used are pri... 详细信息
来源: 评论
Feature data optimization with LVQ technique in semantic image annotation
Feature data optimization with LVQ technique in semantic ima...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Ziheng Jiang Jing He Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given ... 详细信息
来源: 评论
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
来源: 评论
Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection
Experimental Study of Discriminant Method with Application t...
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International Conference on Computational Intelligence and Security
作者: Gege Guo Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Some techniques have been applied to improving software quality by classifying the software modules into fault-prone or non fault-prone categories. This can help developers focus on some high risk fault-prone modules.... 详细信息
来源: 评论
Kernel ICA applied to feature extraction for image annotation
Kernel ICA applied to feature extraction for image annotatio...
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International Conference on Intelligent Systems Design and Applications (ISDA)
作者: Bingxin Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing 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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Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers
Pulsar Candidate Selection by Assembling Positive Sample Emp...
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International Conference on Computational Intelligence and Security
作者: Yao Yao Xin Xin Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Pulsar candidate selection identifies prospective observations of modern radio pulsar surveys for further inspection in search of real pulsars. Typically, human experts visually select valuable candidates and eliminat... 详细信息
来源: 评论
Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies
Modeling multi-source remote sensing image classifier based ...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Huaiying Xia Rukun Hu Bingxin Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China
In classification of multi-source remote sensing image, it is usually difficult to obtain higher classification accuracy. In the previous work, the modeling technique for the remote sensing image classification based ...
来源: 评论