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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 9 • Date Sept. 2005

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Displaying Results 1 - 19 of 19
  • [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 Associate Editors

    Publication Year: 2005, Page(s):1349 - 1350
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  • Iterative kernel principal component analysis for image modeling

    Publication Year: 2005, Page(s):1351 - 1366
    Cited by:  Papers (90)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2024 KB) | HTML iconHTML

    In recent years, kernel principal component analysis (KPCA) has been suggested for various image processing tasks requiring an image model such as, e.g., denoising or compression. The original form of KPCA, however, can be only applied to strongly restricted image classes due to the limited number of training examples that can be processed. We therefore propose a new iterative method for performin... View full abstract»

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  • A new image representation algorithm inspired by image submodality models, redundancy reduction, and learning in biological vision

    Publication Year: 2005, Page(s):1367 - 1378
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1411 KB) | HTML iconHTML

    We develop a new biologically motivated algorithm for representing natural images using successive projections into complementary subspaces. An image is first projected into an edge subspace spanned using an ICA basis adapted to natural images which captures the sharp features of an image like edges and curves. The residual image obtained after extraction of the sharp image features is approximate... View full abstract»

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  • Principal surfaces from unsupervised kernel regression

    Publication Year: 2005, Page(s):1379 - 1391
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (884 KB) | HTML iconHTML

    We propose a nonparametric approach to learning of principal surfaces based on an unsupervised formulation of the Nadaraya-Watson kernel regression estimator. As compared with previous approaches to principal curves and surfaces, the new method offers several advantages: first, it provides a practical solution to the model selection problem because all parameters can be estimated by leave-one-out ... View full abstract»

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  • A comparison of algorithms for inference and learning in probabilistic graphical models

    Publication Year: 2005, Page(s):1392 - 1416
    Cited by:  Papers (51)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2469 KB) | HTML iconHTML

    Research into methods for reasoning under uncertainty is currently one of the most exciting areas of artificial intelligence, largely because it has recently become possible to record, store, and process large amounts of data. While impressive achievements have been made in pattern classification problems such as handwritten character recognition, face detection, speaker identification, and predic... View full abstract»

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  • The nearest subclass classifier: a compromise between the nearest mean and nearest neighbor classifier

    Publication Year: 2005, Page(s):1417 - 1429
    Cited by:  Papers (45)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1277 KB) | HTML iconHTML

    We present the nearest subclass classifier (NSC), which is a classification algorithm that unifies the flexibility of the nearest neighbor classifier with the robustness of the nearest mean classifier. The algorithm is based on the maximum variance cluster algorithm and, as such, it belongs to the class of prototype-based classifiers. The variance constraint parameter of the cluster algorithm serv... View full abstract»

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  • Real-time pattern matching using projection kernels

    Publication Year: 2005, Page(s):1430 - 1445
    Cited by:  Papers (55)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1485 KB) | HTML iconHTML

    A novel approach to pattern matching is presented in which time complexity is reduced by two orders of magnitude compared to traditional approaches. The suggested approach uses an efficient projection scheme which bounds the distance between a pattern and an image window using very few operations on average. The projection framework is combined with a rejection scheme which allows rapid rejection ... View full abstract»

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  • An efficient parameterless quadrilateral-based image segmentation method

    Publication Year: 2005, Page(s):1446 - 1458
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2185 KB) | HTML iconHTML

    This paper proposes a general quadrilateral-based framework for image segmentation, in which quadrilaterals are first constructed from an edge map, where neighboring quadrilaterals with similar features of interest are then merged together to form regions. Under the proposed framework, the quadrilaterals enable the elimination of local variations and unnecessary details for merging from which each... View full abstract»

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  • Recovering intrinsic images from a single image

    Publication Year: 2005, Page(s):1459 - 1472
    Cited by:  Papers (109)  |  Patents (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1808 KB) | HTML iconHTML

    Interpreting real-world images requires the ability distinguish the different characteristics of the scene that lead to its final appearance. Two of the most important of these characteristics are the shading and reflectance of each point in the scene. We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color informati... View full abstract»

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  • Spatial reasoning with incomplete information on relative positioning

    Publication Year: 2005, Page(s):1473 - 1484
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1578 KB) | HTML iconHTML

    This paper describes a probabilistic method of inferring the position of a point with respect to a reference point knowing their relative spatial position to a third point. We address this problem in the case of incomplete information where only the angular spatial relationships are known. The use of probabilistic representations allows us to model prior knowledge. We derive exact formulae express... View full abstract»

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  • Canny edge detection enhancement by scale multiplication

    Publication Year: 2005, Page(s):1485 - 1490
    Cited by:  Papers (79)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (561 KB) | HTML iconHTML

    The technique of scale multiplication is analyzed in the framework of Canny edge detection. A scale multiplication function is defined as the product of the responses of the detection filter at two scales. Edge maps are constructed as the local maxima by thresholding the scale multiplication results. The detection and localization criteria of the scale multiplication are derived. At a small loss i... View full abstract»

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  • Feature-based affine-invariant localization of faces

    Publication Year: 2005, Page(s):1490 - 1495
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (625 KB) | HTML iconHTML

    We present a novel method for localizing faces in person identification scenarios. Such scenarios involve high resolution images of frontal faces. The proposed algorithm does not require color, copes well in cluttered backgrounds, and accurately localizes faces including eye centers. An extensive analysis and a performance evaluation on the XM2VTS database and on the realistic BioID and BANCA face... View full abstract»

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  • LESS: a model-based classifier for sparse subspaces

    Publication Year: 2005, Page(s):1496 - 1500
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    In this paper, we specifically focus on high-dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standpoint, such small sample size problems have some interesting challenges. The first challenge is to find, from all hyperplanes that separate the classes, a separating hyperplane which generalizes well for futu... View full abstract»

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  • Correction for the dislocation of curved surfaces caused by the PSF in 2D and 3D CT images

    Publication Year: 2005, Page(s):1501 - 1507
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (541 KB) | HTML iconHTML

    Conventional edge-detection methods suffer from the dislocation of curved surfaces due to the PSF. We propose a new method that uses the isophote curvature to circumvent this. It is accurate for objects with locally constant curvature, even for small objects (like blood vessels) and in the presence of noise. View full abstract»

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  • Call for Papers for Special Issue on Biometrics: Progress and Directions

    Publication Year: 2005, Page(s): 1508
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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