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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

ISBN: (纸本)9780769541099

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 microscopic data and cells within dense tissue, object boundaries are sometimes not visible. In these cases, one weighting parameter set for the whole contour is not desirable. We are presenting a method for the dynamic adjustment of the weighting parameters, that is only depending on the underlying data and does not need any prior information. The method is especially apt to handle blurred, noisy, and deficient data, as it is often the case in biological microscopy. © 2010 IEEE.

关键词： Deformation

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Fingerprint preclassification using key-points

Fingerprint preclassification using key-points

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International Symposium on Speech, image processing and Neural Networks

作者： Ying Shan Peng Fei Shi Jie Gu Li Inst. of Image Process. & Pattern Recognition Shanghai Jiaotong Univ. China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)078031865X

A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of what the feature is. Using this method, an automatic fingerprint recognition system has been developed, which is characterized by fewer requirements imposed on the preprocessing, lower sensitivity to the noise, higher capacity and parallelism being compared with other traditional ones. The system can list out the most promising fingerprints as a preclassifier.< >

关键词： Fingerprint recognition Equations Lattices Labeling Supervised learning Energy measurement Frequency measurement Brightness Convergence Hamming distance

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Layout and analysis: Finding text, titles, and photos in digital images of newspaper pages

Layout and analysis: Finding text, titles, and photos in dig...

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International Conference on Document Analysis and recognition

作者： J. Wieser A. Pinz Department for Pattern Recognition and Image Processing Inst. for Automation Technical University of of Vienna Wien Austria

An important step in the analysis of printed documents is the segmentation and classification of blocks into categories such as photographs, titles, paragraphs, etc. The authors present an approach to enhance and combine two commonly used methods, a merging bottom-up approach and a cutting top down approach, to segment pages of a newspaper. The implementation of a layout analysis system as a preprocessing module for a commercial product is described.< >

关键词： image analysis Digital images image segmentation Merging pattern analysis image converters Text analysis Optical character recognition software Particle separators Size measurement

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Speaker normalization by input space optimization for continuous density hidden Markov models

Speaker normalization by input space optimization for contin...

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1994 International Symposium on Speech, image processing and Neural Networks, ISSIPNN 1994

作者： Wu, Jianxiong Qi, Zeyu Chan, Chorkin Li, Jiegu Inst. of Image Process. and Pattern Recognition Shanghai Jiaotong Univ. Shanghai China Department of Computer Science Universdy of Hong Kong Hong Kong

ISBN: (纸本)078031865X

This paper proposes a novel method of speaker normalization by means of input space optimization for continuous density hidden Markov models (CDHMM). The parameters of a linear feature transformation function are so determined that, together with the previously trained CDHMM parameters, a mis-classification cost function is minimized for the normalizing data set. Preliminary experimental results on the task of sex adaptation for speaker-independent stop consonant discrimination, evaluated from the DARPA TIMIT speech database, demonstrates the effectiveness of the proposed method. © 1994 IEEE.

关键词： Cost functions

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Human activity recognition in images using SVMs and geodesics on smooth manifolds 14

Human activity recognition in images using SVMs and geodesic...

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8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014

作者： Yun, Yixiao Fu, Keren Gu, Irene Yu-Hua Aghajan, Hamid Yang, Jie Dept. of Signals and Systems Chalmers University of Technology Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University China IMinds Ghent University Belgium AIR Lab. Stanford University United States

ISBN: (纸本)9781450329255

This paper addresses the problem of human activity recognition in still images. We propose a novel method that focuses on human-object interaction for feature representation of activities on Riemannian manifolds, and exploits underlying Riemannian geometry for classification. The main contributions of the paper include: (a) represent human activity by appearance features from local patches centered at hands containing interacting objects, and by structural features formed from the detected human skeleton containing the head, torso axis and hands;(b) formulate SVM kernel function based on geodesics on Riemannian manifolds under the log-Euclidean metric;(c) apply multi-class SVM classifier on the manifold under the one-against.all strategy. Experiments were conducted on a dataset containing 17196 images in 12 classes of activities from 4 subjects. Test results, evaluations, and comparisons with state-of-the-art methods provide support to the effectiveness of the proposed scheme. Copyright 2014 ACM.

关键词： Support vector machines

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Dominant Correlogram Based Particle Filter Tracking

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Journal of Shanghai Jiaotong University(Science) 2005年第1期E-10卷 12-15页

作者： MAO Yan-fen SHI Peng-fei Inst.of Image Processing & Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200030China

A novel dominant correlogram based particle filter was proposed for an object tracking in visual surveillance. Particle filter outperforms the Kalman filter in non-linear and non-Gaussian estimation problem. This paper proposed incorporating spatial information into visual feature, and yields a reliable likelihood description of the observation and prediction. A similarity-ratio is defined to evaluate the effectivity of different similarity measurements in weighing samples. The experimental results demonstrate the effective and robust performance compared with the histogram based tracking in traffic scenes.

关键词： dominant correlogram particle filter (PF) visual probabilistic tracking similarity-ratio

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A Model of Car-Following with Adaptive Headway

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Journal of Shanghai Jiaotong university(Science) 2006年第3期11卷 394-398页

作者：李志鹏刘允才 Inst.of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200240China

The performances of a well-known GHR car-following model was investigated by using numerical simulations in describing the acceleration and deceleration process induced by the motion of a leading car. It is shown that in GHR model vehicle is allowed to run arbitrarily close together if their speed are identical,and it waves aside even though the separation is larger than its desired distance. Based on these investigations, a modified GHR model which features a new nonlinear term which attempts to adjust the inter-vehicle spacing to a certain desired value was proposed accordingly to overcome these deficiencies. In addition, the analysis of the additive nonlinear term and steady-state flow of the new model were studied to prove its rationality.

关键词： car-following models inter-vehicle spacing traffic flow steady-state

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Study on Performances of Car-following Models Induced by Motions of a Leading Car

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Journal of Shanghai Jiaotong University(Science) 2005年第3期E-10卷 217-220页

作者： LI Li SHI Peng-fei Inst.of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.Shanghai 200030China

This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specified speed profile was used to test the above model. The results show that this model is to some extent deficient in performing the process aforementioned. Modifications of the model to overcome these deficiencies were demonstrated and a modified car-following model was proposed accordingly. Furthermore, the delay time of car motion of the new model were studied.

关键词： car-following models leading car linear stability delay time

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A novel method for boundary condition computation in soft tissue deformation

A novel method for boundary condition computation in soft ti...

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2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

作者： Shengzheng, Wang Jie, Yang Kai, Xie Merchant Marine College Shanghai Maritime University 200135 Shanghai China Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong University 200240 Shanghai China Methodist Hospital Research Institute Cornell University Houston TX 77030 United States

ISBN: (纸本)9780769535074

Simulating the soft tissue deformation based on bone-related planning is one of the most difficult issues in generating realistic motion of soft tissues. The difficulty of this problem arises from unclear boundary conditions. In facial soft tissue deformation, the boundary conditions of the finite element modeling are related to the bone movements. In order to better map the bone movements to the soft tissue model, a fast and robust computational strategy for boundary conditions is presented in this paper. First, a collision detection algorithm is employed to query contact position after repositioning of bones. Then, an improved 3D discrete distance field algorithm is proposed to perform imposed displacement computation of contact vertices. Finally, boundary conditions are calculated in terms of the imposed displacements. This approach can automatically handle boundary conditions of the complex geometrical modeling without prior assumption or knowledge about the position of contacts. The effectiveness of our method is demonstrated on complex soft tissue deformation. © 2008 IEEE.

关键词： Boundary conditions

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Automatic 3-D building reconstruction method based on singular point detection of 2-D derived function

Automatic 3-D building reconstruction method based on singul...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Hu, Bin Cao, Zhiguo Zheng, Yi State Key Lab. of Multi-spectral Information Processing Technology Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819478092

Automatic 3-D building reconstruction is the key technology of "digital city" construction, which can be widely used in urban planning and management. In this paper, we firstly analyze the disadvantages in traditional automatic building reconstruction methods, and then according to characteristics of complex buildings, which is multi-storey and non-flattopped, a new automatic building reconstruction method is proposed, which can solve the complex building reconstruction problem effectively and conveniently. The reconstruction experiments show that the proposed method has excellent universality, besides a small calculating amount compared with traditional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image reconstruction

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