IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 8 • Aug. 2004

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Displaying Results 1 - 18 of 18
  • [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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  • Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets

    Publication Year: 2004, Page(s):961 - 972
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB) | HTML iconHTML

    A mobile electromagnetic-induction (EM I) sensor is considered for detection and characterization of buried conducting and/or ferrous targets. The sensor maybe placed on a robot and, here, we consider design of an optimal adaptive-search strategy. A frequency-dependent magnetic-dipole model is used to characterize the target at EMI frequencies. The goal of the search is accurate characterization o... View full abstract»

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  • Mixed group ranks: preference and confidence in classifier combination

    Publication Year: 2004, Page(s):973 - 981
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (809 KB) | HTML iconHTML

    Classifier combination holds the potential of improving performance by combining the results of multiple classifiers. For domains with very large numbers of classes, such as biometrics, we present an axiomatic framework of desirable mathematical properties for combination functions of rank-based classifiers. This framework represents a continuum of combination rules, including the Borda Count, Log... View full abstract»

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  • An optimization criterion for generalized discriminant analysis on undersampled problems

    Publication Year: 2004, Page(s):982 - 994
    Cited by:  Papers (138)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (804 KB) | HTML iconHTML

    An optimization criterion is presented for discriminant analysis. The criterion extends the optimization criteria of the classical Linear Discriminant Analysis (LDA) through the use of the pseudoinverse when the scatter matrices are singular. It is applicable regardless of the relative sizes of the data dimension and sample size, overcoming a limitation of classical LDA. The optimization problem c... View full abstract»

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  • Generalizing discriminant analysis using the generalized singular value decomposition

    Publication Year: 2004, Page(s):995 - 1006
    Cited by:  Papers (176)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1439 KB) | HTML iconHTML

    Discriminant analysis has been used for decades to extract features that preserve class separability. It is commonly defined as an optimization problem involving covariance matrices that represent the scatter within and between clusters. The requirement that one of these matrices be nonsingular limits its application to data sets with certain relative dimensions. We examine a number of optimizatio... View full abstract»

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  • Design of steerable filters for feature detection using canny-like criteria

    Publication Year: 2004, Page(s):1007 - 1019
    Cited by:  Papers (189)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1188 KB) | HTML iconHTML

    We propose a general approach for the design of 2D feature detectors from a class of steerable functions based on the optimization of a Canny-like criterion. In contrast with previous computational designs, our approach is truly 2D and provides filters that have closed-form expressions. It also yields operators that have a better orientation selectivity than the classical gradient or Hessian-based... View full abstract»

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  • Image enhancement and denoising by complex diffusion processes

    Publication Year: 2004, Page(s):1020 - 1036
    Cited by:  Papers (231)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1363 KB) | HTML iconHTML

    The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion equation, are generalized to complex diffusion processes, by incorporating the free Schrodinger equation. A fundamental solution for the linear case of the complex diffusion equation is developed. Analysis of its behavior shows that the generalized diffusion process combines properties of both forward and inve... View full abstract»

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  • Multiview registration of 3D scenes by minimizing error between coordinate frames

    Publication Year: 2004, Page(s):1037 - 1050
    Cited by:  Papers (56)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1206 KB) | HTML iconHTML

    This paper addresses the problem of large-scale multiview registration of range images captured from unknown viewing directions. To reduce the computational burden, we separate the local problem of pairwise registration on neighboring views from the global problem of distribution of accumulated errors. We define the global problem as an optimization over the graph of neighboring views, and we show... View full abstract»

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  • Recovering the missing components in a large noisy low-rank matrix: application to SFM

    Publication Year: 2004, Page(s):1051 - 1063
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (974 KB) | HTML iconHTML

    In computer vision, it is common to require operations on matrices with "missing data," for example, because of occlusion or tracking failures in the Structure from Motion (SFM) problem. Such a problem can be tackled, allowing the recovery of the missing values, if the matrix should be of low rank (when noise free). The filling in of missing values is known as imputation. Imputation can also be ap... View full abstract»

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  • Support vector tracking

    Publication Year: 2004, Page(s):1064 - 1072
    Cited by:  Papers (457)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (812 KB) | HTML iconHTML

    Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function between successive frames, SVT maximizes the SVM classification score. To account for large motions between successive frames, we build pyramids from the support vectors and use a coarse-to-fine approach in the classification ... View full abstract»

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  • Surfaces with occlusions from layered stereo

    Publication Year: 2004, Page(s):1073 - 1078
    Cited by:  Papers (55)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (530 KB) | HTML iconHTML

    We propose a new binocular stereo algorithm that estimates scene structure as a collection of smooth surface patches. The disparities within each patch are modeled by a continuous-valued spline, while the extent of each patch is represented via a pixelwise partitioning of the images. Disparities and extents are alternately estimated in an iterative, energy minimization framework. Experimental resu... View full abstract»

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  • Physical models for moving shadow and object detection in video

    Publication Year: 2004, Page(s):1079 - 1087
    Cited by:  Papers (104)  |  Patents (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4321 KB) | HTML iconHTML

    Current moving object detection systems typically detect shadows cast by the moving object as part of the moving object. In this paper, the problem of separating moving cast shadows from the moving objects in an outdoor environment is addressed. Unlike previous work, we present an approach that does not rely on any geometrical assumptions such as camera location and ground surface/object geometry.... View full abstract»

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  • On curvature estimation of ISO surfaces in 3D gray-value images and the computation of shape descriptors

    Publication Year: 2004, Page(s):1088 - 1094
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (748 KB) | HTML iconHTML

    In this paper, we present a novel method to estimate curvature of iso gray-level surfaces in gray-value images. Our method succeeds where standard isophote curvature estimation methods fail. There is neither a segmentation of the surface needed nor a parametric model assumed. Our estimator works on the orientation field of the surface. This orientation field and a description of local structure is... View full abstract»

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  • Computationally efficient wavelet affine invariant functions for shape recognition

    Publication Year: 2004, Page(s):1095 - 1099
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (437 KB) | HTML iconHTML

    An affine invariant function for object recognition is constructed from wavelet coefficients of the object boundary. In previous works, undecimated dyadic wavelet transform was used to construct affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute an affine invariant function. As a result computational complexity is reduced without de... View full abstract»

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  • Fast occluded object tracking by a robust appearance filter

    Publication Year: 2004, Page(s):1099 - 1104
    Cited by:  Papers (85)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB) | HTML iconHTML

    We propose a new method for object tracking in image sequences using template matching. To update the template, appearance features are smoothed temporally by robust Kalman filters, one to each pixel. The resistance of the resulting template to partial occlusions enables the accurate detection and handling of more severe occlusions. Abrupt changes of lighting conditions can also be handled, especi... View full abstract»

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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
    Request permission for commercial reuse | PDF file iconPDF (131 KB)
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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