IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 6 • Jun 2005

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  • Cover1

    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 Associate Editors

    Publication Year: 2005, Page(s):833 - 834
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  • Combining multiple clusterings using evidence accumulation

    Publication Year: 2005, Page(s):835 - 850
    Cited by:  Papers (170)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2544 KB) | HTML iconHTML

    We explore the idea of evidence accumulation (EAC) for combining the results of multiple clusterings. First, a clustering ensemble - a set of object partitions, is produced. Given a data set (n objects or patterns in d dimensions), different ways of producing data partitions are: 1) applying different clustering algorithms and 2) applying the same clustering algorithm with different values of para... View full abstract»

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  • Edge-based identification of DP-features on free-form solids

    Publication Year: 2005, Page(s):851 - 860
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1509 KB) | HTML iconHTML

    Numerous applications in mechanical CAD/CAM need robust algorithms for the identification of protrusion and depression features (DP-features) on geometric models with free-form (B-spline) surfaces. This paper reports a partitioning algorithm that first identifies the boundary edges of DP-features and then creates a surface patch to cover the depressions or isolate the protrusions. The novelty of t... View full abstract»

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  • Object-based image analysis using multiscale connectivity

    Publication Year: 2005, Page(s):892 - 907
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1232 KB) | HTML iconHTML

    This paper introduces a novel approach for image analysis based on the notion of multiscale connectivity. We use the proposed approach to design several novel tools for object-based image representation and analysis, which exploit the connectivity structure of images in a multiscale fashion. More specifically, we propose a nonlinear pyramidal image representation scheme, which decomposes an image ... View full abstract»

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  • Affine invariant pattern recognition using multiscale autoconvolution

    Publication Year: 2005, Page(s):908 - 918
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (767 KB) | HTML iconHTML

    This paper presents a new affine invariant image transform called multiscale autoconvolution (MSA). The proposed transform is based on a probabilistic interpretation of the image function. The method is directly applicable to isolated objects and does not require extraction of boundaries or interest points, and the computational load is significantly reduced using the fast Fourier transform. The t... View full abstract»

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  • Evolutionary search for faces from line drawings

    Publication Year: 2005, Page(s):861 - 872
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (888 KB)

    Single 2D line drawing is a straightforward method to illustrate 3D objects. The faces of an object depicted by a line drawing give very useful information for the reconstruction of its 3D geometry. Two recently proposed methods for face identification from line drawings are based on two steps: finding a set of circuits that may be faces and searching for real faces from the set according to some ... View full abstract»

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  • Identification of the defective transmission devices using the wavelet transform

    Publication Year: 2005, Page(s):919 - 928
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1267 KB) | HTML iconHTML

    In this paper, a system is described that uses the wavelet transform to automatically identify the particular failure mode of a known defective transmission device. The problem of identifying a particular failure mode within a costly failed assembly is of benefit in practical applications. In this system, external acoustic sensors, instead of intrusive vibrometers, are used to record the acoustic ... View full abstract»

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  • Automatic sign language analysis: a survey and the future beyond lexical meaning

    Publication Year: 2005, Page(s):873 - 891
    Cited by:  Papers (100)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1168 KB)

    Research in automatic analysis of sign language has largely focused on recognizing the lexical (or citation) form of sign gestures, as they appear in continuous signing, and developing algorithms that scale well to large vocabularies. However, successful recognition of lexical signs is not sufficient for a full understanding of sign language communication. Nonmanual signals and grammatical process... View full abstract»

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  • A two-stage linear discriminant analysis via QR-decomposition

    Publication Year: 2005, Page(s):929 - 941
    Cited by:  Papers (124)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1178 KB) | HTML iconHTML

    Linear discriminant analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data, such as image and text classification. An intrinsic limitation of classical LDA is the so-called singularity problems; that is, it fails when all scatter matrices are singular. Many LDA extensions were proposed in th... View full abstract»

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  • A theoretical and experimental analysis of linear combiners for multiple classifier systems

    Publication Year: 2005, Page(s):942 - 956
    Cited by:  Papers (142)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1179 KB) | HTML iconHTML

    In this paper, a theoretical and experimental analysis of linear combiners for multiple classifier systems is presented. Although linear combiners are the most frequently used combining rules, many important issues related to their operation for pattern classification tasks lack a theoretical basis. After a critical review of the framework developed in works by Turner and Ghosh [1996], [1999] on w... View full abstract»

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  • Sparse multinomial logistic regression: fast algorithms and generalization bounds

    Publication Year: 2005, Page(s):957 - 968
    Cited by:  Papers (295)  |  Patents (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (447 KB) | HTML iconHTML

    Recently developed methods for learning sparse classifiers are among the state-of-the-art in supervised learning. These methods learn classifiers that incorporate weighted sums of basis functions with sparsity-promoting priors encouraging the weight estimates to be either significantly large or exactly zero. From a learning-theoretic perspective, these methods control the capacity of the learned c... View full abstract»

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  • The angular difference function and its application to image registration

    Publication Year: 2005, Page(s):969 - 976
    Cited by:  Papers (31)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (598 KB) | HTML iconHTML

    The estimation of large motions without prior knowledge is an important problem in image registration. In this paper, we present the angular difference function (ADF) and demonstrate its applicability to rotation estimation. The ADF of two functions is defined as the integral of their spectral difference along the radial direction. It is efficiently computed using the pseudopolar Fourier transform... View full abstract»

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  • Video super-resolution using controlled subpixel detector shifts

    Publication Year: 2005, Page(s):977 - 987
    Cited by:  Papers (51)  |  Patents (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2866 KB) | HTML iconHTML

    Video cameras must produce images at a reasonable frame-rate and with a reasonable depth of field. These requirements impose fundamental physical limits on the spatial resolution of the image detector. As a result, current cameras produce videos with a very low resolution. The resolution of videos can be computationally enhanced by moving the camera and applying super-resolution reconstruction alg... View full abstract»

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  • Motion segmentation using occlusions

    Publication Year: 2005, Page(s):988 - 992
    Cited by:  Papers (45)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1197 KB) | HTML iconHTML

    We examine the key role of occlusions in finding independently moving objects instantaneously in a video obtained by a moving camera with a restricted field of view. In this problem, the image motion is caused by the combined effect of camera motion (egomotion), structure (depth), and the independent motion of scene entities. For a camera with a restricted field of view undergoing a small motion b... View full abstract»

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  • Offline geometric parameters for automatic signature verification using fixed-point arithmetic

    Publication Year: 2005, Page(s):993 - 997
    Cited by:  Papers (111)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (563 KB) | HTML iconHTML

    This paper presents a set of geometric signature features for offline automatic signature verification based on the description of the signature envelope and the interior stroke distribution in polar and Cartesian coordinates. The features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden Markov models, support vector machines, and Eucl... View full abstract»

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  • Fast unambiguous stereo matching using reliability-based dynamic programming

    Publication Year: 2005, Page(s):998 - 1003
    Cited by:  Papers (44)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1044 KB) | HTML iconHTML

    An efficient unambiguous stereo matching technique is presented in this paper. Our main contribution is to introduce a new reliability measure to dynamic programming approaches in general. For stereo vision application, the reliability of a proposed match on a scanline is defined as the cost difference between the globally best disparity assignment that includes the match and the globally best ass... View full abstract»

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  • Radon transform orientation estimation for rotation invariant texture analysis

    Publication Year: 2005, Page(s):1004 - 1008
    Cited by:  Papers (225)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (905 KB) | HTML iconHTML

    This paper presents a new approach to rotation invariant texture classification. The proposed approach benefits from the fact that most of the texture patterns either have directionality (anisotropic textures) or are not with a specific direction (isotropic textures). The wavelet energy features of the directional textures change significantly when the image is rotated. However, for the isotropic ... View full abstract»

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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
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu