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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 1 • Date Jan. 2005

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Displaying Results 1 - 21 of 21
  • [Front cover]

    Publication Year: 2005, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2005, Page(s): c2
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  • Introduction of New Editor-in-Chief

    Publication Year: 2005, Page(s): 1
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  • Editorial

    Publication Year: 2005, Page(s):2 - 3
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  • Discriminative common vectors for face recognition

    Publication Year: 2005, Page(s):4 - 13
    Cited by:  Papers (276)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (801 KB) | HTML iconHTML

    In face recognition tasks, the dimension of the sample space is typically larger than the number of the samples in the training set. As a consequence, the within-class scatter matrix is singular and the linear discriminant analysis (LDA) method cannot be applied directly. This problem is known as the "small sample size" problem. In this paper, we propose a new face recognition method called the di... View full abstract»

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  • Style context with second-order statistics

    Publication Year: 2005, Page(s):14 - 22
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (887 KB) | HTML iconHTML

    Patterns often occur as homogeneous groups or fields generated by the same source. In multisource recognition problems, such isogeny induces statistical dependencies between patterns (termed style context). We model these dependencies by second-order statistics and formulate the optimal classifier for normally distributed styles. We show that model parameters estimated only from pairs of classes s... View full abstract»

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  • Artificial neural networks for document analysis and recognition

    Publication Year: 2005, Page(s):23 - 35
    Cited by:  Papers (42)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1148 KB) | HTML iconHTML

    Artificial neural networks have been extensively applied to document analysis and recognition. Most efforts have been devoted to the recognition of isolated handwritten and printed characters with widely recognized successful results. However, many other document processing tasks, like preprocessing, layout analysis, character segmentation, word recognition, and signature verification, have been e... View full abstract»

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  • Tensor voting for image correction by global and local intensity alignment

    Publication Year: 2005, Page(s):36 - 50
    Cited by:  Papers (31)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1575 KB) | HTML iconHTML

    This work presents a voting method to perform image correction by global and local intensity alignment. The key to our modeless approach is the estimation of global and local replacement functions by reducing the complex estimation problem to the robust 2D tensor voting in the corresponding voting spaces. No complicated model for replacement function (curve) is assumed. Subject to the monotonic co... View full abstract»

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  • A noniterative greedy algorithm for multiframe point correspondence

    Publication Year: 2005, Page(s):51 - 65
    Cited by:  Papers (88)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2130 KB) | HTML iconHTML

    This work presents a framework for finding point correspondences in monocular image sequences over multiple frames. The general problem of multiframe point correspondence is NP-hard for three or more frames. A polynomial time algorithm for a restriction of this problem is presented and is used as the basis of the proposed greedy algorithm for the general problem. The greedy nature of the proposed ... View full abstract»

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  • Information fusion methods based on physical laws

    Publication Year: 2005, Page(s):66 - 77
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1213 KB) | HTML iconHTML

    We consider systems whose parameters satisfy certain easily computable physical laws. Each parameter is directly measured by a number of sensors, or estimated using measurements, or both. The measurement process may introduce both systematic and random errors which may then propagate into the estimates. Furthermore, the actual parameter values are not known since every parameter is measured or est... View full abstract»

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  • Iconic memory-based omnidirectional route panorama navigation

    Publication Year: 2005, Page(s):78 - 87
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1362 KB) | HTML iconHTML

    A route navigation method for a mobile robot with an omnidirectional image sensor is described. The route is memorized from a series of consecutive omnidirectional images of the horizon when the robot moves to its goal. While the robot is navigating to the goal point, input is matched against the memorized spatio-temporal route pattern by using dual active contour models and the exact robot positi... View full abstract»

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  • Style consistent classification of isogenous patterns

    Publication Year: 2005, Page(s):88 - 98
    Cited by:  Papers (23)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1249 KB) | HTML iconHTML

    In many applications of pattern recognition, patterns appear together in groups (fields) that have a common origin. For example, a printed word is usually a field of character patterns printed in the same font. A common origin induces consistency of style in features measured on patterns. The features of patterns co-occurring in a field are statistically dependent because they share the same, albe... View full abstract»

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  • Metric 3D reconstruction and texture acquisition of surfaces of revolution from a single uncalibrated view

    Publication Year: 2005, Page(s):99 - 114
    Cited by:  Papers (36)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3809 KB) | HTML iconHTML

    Image analysis and computer vision can be effectively employed to recover the three-dimensional structure of imaged objects, together with their surface properties. In this paper, we address the problem of metric reconstruction and texture acquisition from a single uncalibrated view of a surface of revolution (SOR). Geometric constraints induced in the image by the symmetry properties of the SOR s... View full abstract»

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  • An information fusion framework for robust shape tracking

    Publication Year: 2005, Page(s):115 - 129
    Cited by:  Papers (54)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2152 KB) | HTML iconHTML

    Existing methods for incorporating subspace model constraints in shape tracking use only partial information from the measurements and model distribution. We propose a unified framework for robust shape tracking, optimally fusing heteroscedastic uncertainties or noise from measurement, system dynamics, and a subspace model. The resulting nonorthogonal subspace projection and fusion are natural ext... View full abstract»

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  • A novel document ranking method using the discrete cosine transform

    Publication Year: 2005, Page(s):130 - 135
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (785 KB) | HTML iconHTML

    We propose a new spectral text retrieval method using the discrete cosine transform (DCT). By taking advantage of the properties of the DCT and by employing the fast query and compression techniques found in vector space methods (VSM), we show that we can process queries as fast as VSM and achieve a much higher precision. View full abstract»

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  • On utilizing search methods to select subspace dimensions for kernel-based nonlinear subspace classifiers

    Publication Year: 2005, Page(s):136 - 141
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (753 KB) | HTML iconHTML

    In kernel-based nonlinear subspace (KNS) methods, the subspace dimensions have a strong influence on the performance of the subspace classifier. In order to get a high classification accuracy, a large dimension is generally required. However, if the chosen subspace dimension is too large, it leads to a low performance due to the overlapping of the resultant subspaces and, if it is too small, it in... View full abstract»

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  • WARP: accurate retrieval of shapes using phase of Fourier descriptors and time warping distance

    Publication Year: 2005, Page(s):142 - 147
    Cited by:  Papers (82)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (687 KB) | HTML iconHTML

    Effective and efficient retrieval of similar shapes from large image databases is still a challenging problem in spite of the high relevance that shape information can have in describing image contents. We propose a novel Fourier-based approach, called WARP, for matching and retrieving similar shapes. The unique characteristics of WARP are the exploitation of the phase of Fourier coefficients and ... View full abstract»

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  • Skin segmentation using color pixel classification: analysis and comparison

    Publication Year: 2005, Page(s):148 - 154
    Cited by:  Papers (274)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1237 KB) | HTML iconHTML

    This work presents a study of three important issues of the color pixel classification approach to skin segmentation: color representation, color quantization, and classification algorithm. Our analysis of several representative color spaces using the Bayesian classifier with the histogram technique shows that skin segmentation based on color pixel classification is largely unaffected by the choic... View full abstract»

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  • Reviewers list

    Publication Year: 2005, Page(s):155 - 160
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  • TPAMI Information for authors

    Publication Year: 2005, Page(s): c3
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  • [Back cover]

    Publication Year: 2005, Page(s): c4
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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu