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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 4 • Date April 2005

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Displaying Results 1 - 24 of 24
  • [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): 481
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  • Feature space interpretation of SVMs with indefinite kernels

    Publication Year: 2005, Page(s):482 - 492
    Cited by:  Papers (67)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1152 KB) | HTML iconHTML

    Kernel methods are becoming increasingly popular for various kinds of machine learning tasks, the most famous being the support vector machine (SVM) for classification. The SVM is well understood when using conditionally positive definite (cpd) kernel functions. However, in practice, non-cpd kernels arise and demand application in SVM. The procedure of "plugging" these indefinite kernels in SVM of... View full abstract»

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  • Light source position and reflectance estimation from a single view without the distant illumination assumption

    Publication Year: 2005, Page(s):493 - 505
    Cited by:  Papers (36)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1641 KB) | HTML iconHTML

    Several techniques have been developed for recovering reflectance properties of real surfaces under unknown illumination. However, in most cases, those techniques assume that the light sources are located at infinity, which cannot be applied safely to, for example, reflectance modeling of indoor environments. In this paper, we propose two types of methods to estimate the surface reflectance proper... View full abstract»

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  • Vector-valued image regularization with PDEs: a common framework for different applications

    Publication Year: 2005, Page(s):506 - 517
    Cited by:  Papers (223)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3201 KB) | HTML iconHTML

    In this paper, we focus on techniques for vector-valued image regularization, based on variational methods and PDE. Starting from the study of PDE-based formalisms previously proposed in the literature for the regularization of scalar and vector-valued data, we propose a unifying expression that gathers the majority of these previous frameworks into a single generic anisotropic diffusion equation.... View full abstract»

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  • Enhancing resolution along multiple imaging dimensions using assorted pixels

    Publication Year: 2005, Page(s):518 - 530
    Cited by:  Papers (37)  |  Patents (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4651 KB) | HTML iconHTML

    Multisampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightness, polarization, etc.). The mosaic of red, green, and blue spectral filters found in most solid-state color cameras is one example of multisampled imaging. We briefly describe how multisampling can be used to explore other dimens... View full abstract»

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  • Space-time super-resolution

    Publication Year: 2005, Page(s):531 - 545
    Cited by:  Papers (93)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3306 KB) | HTML iconHTML

    We propose a method for constructing a video sequence of high space-time resolution by combining information from multiple low-resolution video sequences of the same dynamic scene. Super-resolution is performed simultaneously in time and in space. By "temporal super-resolution," we mean recovering rapid dynamic events that occur faster than regular frame-rate. Such dynamic events are not visible (... View full abstract»

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  • Salient closed boundary extraction with ratio contour

    Publication Year: 2005, Page(s):546 - 561
    Cited by:  Papers (77)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1901 KB) | HTML iconHTML

    We present ratio contour, a novel graph-based method for extracting salient closed boundaries from noisy images. This method operates on a set of boundary fragments that are produced by edge detection. Boundary extraction identifies a subset of these fragments and connects them sequentially to form a closed boundary with the largest saliency. We encode the Gestalt laws of proximity and continuity ... View full abstract»

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  • Recursive estimation of 3D motion and surface structure from local affine flow parameters

    Publication Year: 2005, Page(s):562 - 574
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1639 KB) | HTML iconHTML

    A recursive structure from motion algorithm based on optical flow measurements taken from an image sequence is described. It provides estimates of surface normal in addition to 3D motion and depth. The measurements are affine motion parameters which approximate the local flow fields associated with near-planar surface patches in the scene. These are integrated over time to give estimates of the 3D... View full abstract»

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  • A theoretical and experimental investigation of graph theoretical measures for land development in satellite imagery

    Publication Year: 2005, Page(s):575 - 589
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2470 KB) | HTML iconHTML

    Today's commercial satellite images enable experts to classify region types in great detail. In previous work, we considered discriminating rural and urban regions. However, a more detailed classification is required for many purposes. These fine classifications assist government agencies in many ways including urban planning, transportation management, and rescue operations. In a step toward the ... View full abstract»

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  • Statistical shape analysis: clustering, learning, and testing

    Publication Year: 2005, Page(s):590 - 602
    Cited by:  Papers (95)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1733 KB) | HTML iconHTML

    Using a differential-geometric treatment of planar shapes, we present tools for: 1) hierarchical clustering of imaged objects according to the shapes of their boundaries, 2) learning of probability models for clusters of shapes, and 3) testing of newly observed shapes under competing probability models. Clustering at any level of hierarchy is performed using a minimum variance type criterion and a... View full abstract»

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  • Fast SVM training algorithm with decomposition on very large data sets

    Publication Year: 2005, Page(s):603 - 618
    Cited by:  Papers (99)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1344 KB) | HTML iconHTML

    Training a support vector machine on a data set of huge size with thousands of classes is a challenging problem. This paper proposes an efficient algorithm to solve this problem. The key idea is to introduce a parallel optimization step to quickly remove most of the nonsupport vectors, where block diagonal matrices are used to approximate the original kernel matrix so that the original problem can... View full abstract»

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  • An evaluation of multimodal 2D+3D face biometrics

    Publication Year: 2005, Page(s):619 - 624
    Cited by:  Papers (185)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (972 KB) | HTML iconHTML

    We report on the largest experimental study to date in multimodal 2D+3D face recognition, involving 198 persons in the gallery and either 198 or 670 time-lapse probe images. PCA-based methods are used separately for each modality and match scores in the separate face spaces are combined for multimodal recognition. Major conclusions are: 1) 2D and 3D have similar recognition performance when consid... View full abstract»

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  • Edge and corner detection by photometric quasi-invariants

    Publication Year: 2005, Page(s):625 - 630
    Cited by:  Papers (63)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1522 KB) | HTML iconHTML

    Feature detection is used in many computer vision applications such as image segmentation, object recognition, and image retrieval. For these applications, robustness with respect to shadows, shading, and specularities is desired. Features based on derivatives of photometric invariants, which we is called full invariants, provide the desired robustness. However, because computation of photometric ... View full abstract»

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  • Generalized mosaicing: polarization panorama

    Publication Year: 2005, Page(s):631 - 636
    Cited by:  Papers (9)  |  Patents (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1963 KB) | HTML iconHTML

    We present an approach to image the polarization state of object points in a wide field of view, while enhancing the radiometric dynamic range of imaging systems by generalizing image mosaicing. The approach is biologically inspired, as it emulates spatially varying polarization sensitivity of some animals. In our method, a spatially varying polarization and attenuation filter is rigidly attached ... View full abstract»

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  • Geometric and algebraic constraints of projected concentric circles and their applications to camera calibration

    Publication Year: 2005, Page(s):637 - 642
    Cited by:  Papers (67)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB) | HTML iconHTML

    We investigate the projective properties of the feature consisting of two concentric circles. We demonstrate there exist geometric and algebraic constraints on its projection. We show how these constraints greatly simplify the recoveries of the affine and Euclidean structures of a 3D plane. As an application, we assess the performances of two camera calibration algorithms. View full abstract»

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  • An EM algorithm for the block mixture model

    Publication Year: 2005, Page(s):643 - 647
    Cited by:  Papers (19)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (419 KB) | HTML iconHTML

    Although many clustering procedures aim to construct an optimal partition of objects or, sometimes, of variables, there are other methods, called block clustering methods, which consider simultaneously the two sets and organize the data into homogeneous blocks. Recently, we have proposed a new mixture model called block mixture model which takes into account this situation. This model allows one t... View full abstract»

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  • A hybrid neural network system for pattern classification tasks with missing features

    Publication Year: 2005, Page(s):648 - 653
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (718 KB) | HTML iconHTML

    A hybrid neural network comprising fuzzy ARTMAP and fuzzy c-means clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification tasks are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods. View full abstract»

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  • [Advertisement]

    Publication Year: 2005, Page(s): 654
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  • [Advertisement]

    Publication Year: 2005, Page(s): 655
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  • [Advertisement]

    Publication Year: 2005, Page(s): 656
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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