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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 12 • Dec. 2004

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  • [Front cover]

    Publication Year: 2004, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2004, Page(s): c2
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  • Shape-based recognition of wiry objects

    Publication Year: 2004, Page(s):1537 - 1552
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2272 KB) | HTML iconHTML

    We present an approach to the recognition of complex-shaped objects in cluttered environments based on edge information. We first use example images of a target object in typical environments to train a classifier cascade that determines whether edge pixels in an image belong to an instance of the desired object or the clutter. Presented with a novel image, we use the cascade to discard clutter ed... View full abstract»

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  • Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction

    Publication Year: 2004, Page(s):1553 - 1566
    Cited by:  Papers (104)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (976 KB) | HTML iconHTML

    Automatic classification is one of the basic tasks required in any pattern recognition and human computer interaction application. In this paper, we discuss training probabilistic classifiers with labeled and unlabeled data. We provide a new analysis that shows under what conditions unlabeled data can be used in learning to improve classification performance. We also show that, if the conditions a... View full abstract»

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  • Frequency domain formulation of active parametric deformable models

    Publication Year: 2004, Page(s):1568 - 1578
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (840 KB) | HTML iconHTML

    Active deformable models are simple tools, very popular in computer vision and computer graphics, for solving ill-posed problems or mimic real physical systems. The classical formulation is given in the spatial domain, the motor of the procedure is a second-order linear system, and rigidity and elasticity are the basic parameters for its characterization. This paper proposes a novel formulation ba... View full abstract»

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  • Detection of image structures using the Fisher information and the Rao metric

    Publication Year: 2004, Page(s):1579 - 1589
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB) | HTML iconHTML

    In many detection problems, the structures to be detected are parameterized by the points of a parameter space. If the conditional probability density function for the measurements is known, then detection can be achieved by sampling the parameter space at a finite number of points and checking each point to see if the corresponding structure is supported by the data. The number of samples and the... View full abstract»

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  • Recognition by symmetry derivatives and the generalized structure tensor

    Publication Year: 2004, Page(s):1590 - 1605
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1086 KB) | HTML iconHTML

    We suggest a set of complex differential operators that can be used to produce and filter dense orientation (tensor) fields for feature extraction, matching, and pattern recognition. We present results on the invariance properties of these operators, that we call symmetry derivatives. These show that, in contrast to ordinary derivatives, all orders of symmetry derivatives of Gaussians yield a rema... View full abstract»

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  • A coarse-to-fine strategy for multiclass shape detection

    Publication Year: 2004, Page(s):1606 - 1621
    Cited by:  Papers (67)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (920 KB) | HTML iconHTML

    Multiclass shape detection, in the sense of recognizing and localizing instances from multiple shape classes, is formulated as a two-step process in which local indexing primes global interpretation. During indexing a list of instantiations (shape identities and poses) is compiled, constrained only by no missed detections at the expense of false positives. Global information, such as expected rela... View full abstract»

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  • The visual hull of smooth curved objects

    Publication Year: 2004, Page(s):1622 - 1632
    Cited by:  Papers (10)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (912 KB) | HTML iconHTML

    The visual hull is a geometric entity that relates the shape of an object to its silhouettes or shadows. This paper develops the theory of the visual hull of generic smooth objects. We show that the visual hull can be constructed using surfaces which partition the viewpoint space of the aspect graph of the object. The surfaces are those generated by the visual events tangent crossing and triple po... View full abstract»

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  • Globally convergent autocalibration using interval analysis

    Publication Year: 2004, Page(s):1633 - 1638
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB) | HTML iconHTML

    We address the problem of autocalibration of a moving camera with unknown constant intrinsic parameters. Existing autocalibration techniques use numerical optimization algorithms whose convergence to the correct result cannot be guaranteed, in general. To address this problem, we have developed a method where an interval branch-and-bound method is employed for numerical minimization. Thanks to the... View full abstract»

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  • Correlation filter: an accurate approach to detect and locate low contrast character strings in complex table environment

    Publication Year: 2004, Page(s):1639 - 1644
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (848 KB) | HTML iconHTML

    Correlation has been used extensively in object detection field. In this paper, two kinds of correlation filters, minimum average correlation energy (MACE) and extended maximum average correlation height (EMACH), are applied as adaptive shift locators to detect and locate smudgy character strings in complex tabular color flight coupon images. These strings in irregular tabular coupon are computer-... View full abstract»

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  • Eigenregions for image classification

    Publication Year: 2004, Page(s):1645 - 1649
    Cited by:  Papers (32)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (624 KB) | HTML iconHTML

    For certain databases and classification tasks, analyzing images based on region features instead of image features results in more accurate classifications. We introduce eigenregions, which are geometrical features that encompass area, location, and shape properties of an image region, even if the region is spatially incoherent. Eigenregions are calculated using principal component analysis (PCA)... View full abstract»

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  • Spherical diffusion for 3D surface smoothing

    Publication Year: 2004, Page(s):1650 - 1654
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    A diffusion-based approach to surface smoothing is presented. Surfaces are represented as scalar functions defined on the sphere. The approach is equivalent to Gaussian smoothing on the sphere and is computationally efficient since it does not require iterative smoothing. Furthermore, it does not suffer from the well-known shrinkage problem. Evolution of important shape features (parabolic curves)... View full abstract»

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  • Annual Index

    Publication Year: 2004, Page(s):1655 - 1676
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  • [Advertisement]

    Publication Year: 2004, Page(s): 1677
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  • [Advertisement]

    Publication Year: 2004, Page(s): 1678
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    Publication Year: 2004, Page(s): 1679
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    Publication Year: 2004, Page(s): 1680
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  • TPAMI Information for authors

    Publication Year: 2004, Page(s): c3
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  • [Back cover]

    Publication Year: 2004, 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.

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Meet Our Editors

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