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Pattern Recognition (CCPR), 2010 Chinese Conference on

Date 21-23 Oct. 2010

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Displaying Results 1 - 25 of 228
  • CCPR 2010 [Title Page]

    Publication Year: 2010 , Page(s): i
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    Freely Available from IEEE
  • CCPR 2010 [Copyright notice]

    Publication Year: 2010 , Page(s): i
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    Freely Available from IEEE
  • CCPR 2010 Sponsorship/Co-Sponsorship and Organization

    Publication Year: 2010 , Page(s): i - ii
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  • CCPR 2010 Foreword

    Publication Year: 2010 , Page(s): i - ii
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    Freely Available from IEEE
  • CCPR 2010 Keynote Speeches

    Publication Year: 2010 , Page(s): i - iv
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (259 KB)  

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • CCPR 2010 Table of contents

    Publication Year: 2010 , Page(s): i - xxii
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  • CCPR 2010 author index

    Publication Year: 2010 , Page(s): i - v
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  • A Combined Method for Traffic Sign Detection and Classification

    Publication Year: 2010 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (398 KB) |  | HTML iconHTML  

    The study of traffic sign recognition system has been of great interests for many years. This problem is often addressed by a three-stage procedure involving detection, tracking and classification. In this paper, a novel approach combining detection and classification of circular traffic signs is proposed. The position and scale of sign candidates within the scene are captured by detecting the cen... View full abstract»

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  • A Discriminative Model for Mongolian-English Word Alignment

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (252 KB) |  | HTML iconHTML  

    In this paper we have developed a discriminative word alignment method using the liner CRF model for Mongolian-English language pair. Discriminative approaches have the ability to use large variety of features flexibly and to combine information from various sources. According to the differences between Mongolian and English, we discuss and select the different features, and experiments on Mongoli... View full abstract»

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  • A Discriminative Model for Traditional Mongolian Part of Speech

    Publication Year: 2010 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (191 KB) |  | HTML iconHTML  

    This paper presents a discriminative model for part of speech tagging of traditional Mongolian.We use Maximum Entropy Model with Morphological features of Mongolian. First, the context feature templates are defined and extracted from the training corpus. Then, the parameters of maximum entropy probability models are calculated. Experimental results show that integration of morphological features o... View full abstract»

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  • A Fast Approach to Hyperspectral Band Selection Based on Time Series Analysis

    Publication Year: 2010 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (367 KB)  

    Hyperspectral remote sensing image has the characteristics of hundreds of bands, high relevancy, and high redundancy, which bring difficulties to the further processing task. In order to reduce the dimension, this paper proposes an effective band selection method based on time series analysis of important points. The method takes all the continuous band of hyperspectral remote sensing images as ti... View full abstract»

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  • A Fast Approach to Retinal Vessel Segmentation

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1291 KB) |  | HTML iconHTML  

    Automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. However, automated retinal segmentation is complicated by the fact that a number of vessels are very thin and the local contrast is low. We propose the radial projection method to locate the vessel centerlines which contains the thin vessels. Then the aggrega... View full abstract»

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  • A Fast Hybrid Method for Interactive Liver Segmentation

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1355 KB) |  | HTML iconHTML  

    Accurate liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computer aided diagnosis (CAD) for liver CT. Recently, interactive segmentation plays an important role in liver segmentation. In this paper we propose a fast hybrid method for liver segmentation from abdominal CT image. Firstly, the CT image is enhanced and denoised by linear stretch ... View full abstract»

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  • A Fast Multi-Resolution Iterative Closest Point Algorithm

    Publication Year: 2010 , Page(s): 1 - 5
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (532 KB) |  | HTML iconHTML  

    Iterative Closest Point (ICP) is a classical algorithm for rigid point set registration. However, with the number of points in the set increasing, its computational efficiency usually suffers a reduction, which limits the practical applications of this algorithm. Based on Weber's Law in psychophysics, this paper proposes a fast ICP algorithm based on hierarchical and multi-resolution model for poi... View full abstract»

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  • A Gabor Wavelet Based Palmprint Recognition Algorithm and Its Implementation on TI TMS320VC5509A Platform

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (599 KB)  

    A Gabor wavelet based palmprint recognition algorithm is introduced in this paper. With high recognition rate and low computational complexity, the algorithm is suitable for portable platform. TI TMS320VC5509A is a high performance digital signal processor (DSP) provided by Texas Instruments Corporation. By using the 5509A chip as the core processor, working with AVR microcontroller, CPLD device a... View full abstract»

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  • A Hidden Information Blind Detection Method Based on Rough Set Theory

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (522 KB)  

    For improving the detection efficiency of hidden information blind detection system, an improved hidden information detection method based rough set theory is proposed against the high dimension of statistical features and high relevance about images. First, an improved general steganalysis system framework is proposed with practical method and steps; second, the Algorithm based on the rough set t... View full abstract»

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  • A Hybrid Polarimetric Decomposition Method Based on Combination of Scattering-Model and Eigenvector-Decomposition

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1870 KB)  

    Polarimetric decomposition methods are divided into two basic categories: Scattering-model based decomposition and eigenvector-based decomposition. The former has a clear physical meaning but may lead to negative power coefficient, while the latter is the opposite. So, a hybrid Polarimetric decomposition method based on combination of these two methods is proposed, avoiding the negative power coef... View full abstract»

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  • A Multiple View Self-Calibration and Metric Reconstruction Method for Structured Light System

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (408 KB) |  | HTML iconHTML  

    Self-calibration for imaging sensors is essential to many computer vision applications. In this paper, a novel algorithm based on multiple view self-calibration and metric reconstruction is proposed for structured light system. In the method, the camera is implemented in three different positions to acquire images. This algorithm can be applied in various occasions with its simple calculation and ... View full abstract»

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  • A Multiscale CCTA Plus Spectral Graph Partitioning for Image Segmentation

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (598 KB) |  | HTML iconHTML  

    We proposed a multiscale image segmentation algorithm. In contrast to most multiscale image processing algorithms, this algorithm works on multiple scales of an image through connected coherence tree algorithm (CCTA) whose parameters can be changed to capture details in both coarse and fine level. By applying a graph-based technique, we can design a graph in which the nodes are both the regions an... View full abstract»

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  • A Multi-Step Algorithm for Curved Lane Detection

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2573 KB)  

    In this paper, we propose a multi-step algorithm for curved lane detection. We represent the lane markings on the road by a modified hyperbola-pair model, which contains two parts. The first one is a parallel straight line model, which is achieved by Hough transform. The second one is a hyperbola-pair line model, which is achieved by a searching strategy with the parameters got in the first stage ... View full abstract»

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  • A New Accurate Method of Compensating Phase-Shifting Error

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (637 KB)  

    A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximately suppose that the sinusoidal fringe projection to the plate, the phase differences between adjacent pixels are equal. Then we put the phase shift error into the original algorithm ... View full abstract»

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  • A New Connectivity-Based Cluster Validity Index

    Publication Year: 2010 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (490 KB)  

    Many cluster validity indices faced two problems. First, most of them neglect the variance of intra-cluster compactness between clusters. Second, some indices can not deal well with the clusters of arbitrary shapes. In this paper, we propose a new approach to solving these two problems: we define the validity indices for the whole clustering results upon the validity indices of single clusters. Th... View full abstract»

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  • A New Feature Fusion Method for Gesture Recognition Based on 3D Accelerometer

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    In this paper, a new feature fusion method for gesture recognition based on single tri-axis accelerometer has been proposed. The process can be explained as follows: firstly, the short-time energy (STE) features are extracted from accelerometer data. Secondly, the hybrid features which combines wavelet packet decomposition with Fast Fourier transform (WPD+FFT) are also extracted. Finally, these tw... View full abstract»

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  • A New Feature Weighted Affinity Propagation Clustering Algorithm

    Publication Year: 2010 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (401 KB)  

    Data clustering is an effective method for data analysis and pattern recognition which has been applied in many fields such as image segmentation, machine learning and data mining. It is the process of splitting the multidimensional data into several groupings or clusters based on some similarity measures. A cluster is usually defined by a cluster center. Generally, the information of the features... View full abstract»

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  • A New Fingerprint Thinning Algorithm

    Publication Year: 2010 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (307 KB) |  | HTML iconHTML  

    Fingerprint thinning is a critical step in fingerprint identification system, and it's also the last step of preprocessing. The performance of a minutiae extraction algorithm relies heavily on the quality of the thinning algorithm. Moreover, the efficiency of the algorithm is a crucial factor in real-time identification system. A new thinning algorithm for fingerprint image which based on directio... View full abstract»

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