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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 1 • Date Jan. 2006

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Displaying Results 1 - 24 of 24
  • [Front cover]

    Publication Year: 2006, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2006, Page(s): c2
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  • Introduction of New Associate Editors

    Publication Year: 2006, Page(s):1 - 2
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  • Performance evaluation of fingerprint verification systems

    Publication Year: 2006, Page(s):3 - 18
    Cited by:  Papers (115)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2635 KB) | HTML iconHTML

    This paper is concerned with the performance evaluation of fingerprint verification systems. After an initial classification of biometric testing initiatives, we explore both the theoretical and practical issues related to performance evaluation by presenting the outcome of the recent fingerprint verification competition (FVC2004). FVC2004 was organized by the authors of this work for the purpose ... View full abstract»

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  • Fingerprint warping using ridge curve correspondences

    Publication Year: 2006, Page(s):19 - 30
    Cited by:  Papers (39)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3962 KB) | HTML iconHTML

    The performance of a fingerprint matching system is affected by the nonlinear deformation introduced in the fingerprint impression during image acquisition. This nonlinear deformation causes fingerprint features such as minutiae points and ridge curves to be distorted in a complex manner. A technique is presented to estimate the nonlinear distortion in fingerprint pairs based on ridge curve corres... View full abstract»

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  • Matching 2.5D face scans to 3D models

    Publication Year: 2006, Page(s):31 - 43
    Cited by:  Papers (167)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2140 KB) | HTML iconHTML

    The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system that utilizes three-dimensional shape information to make the system more robust to arbitrary pose and lighting. For each subject, a 3D face model is constructed by integrating several 2.5D face scans which are captured from... View full abstract»

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  • Recovering 3D human pose from monocular images

    Publication Year: 2006, Page(s):44 - 58
    Cited by:  Papers (242)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3162 KB) | HTML iconHTML

    We describe a learning-based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor prior labeling of body parts in the image. Instead, it recovers pose by direct nonlinear regression against shape descriptor vectors extracted automatically from image silhouettes. For robustness against local silhouette se... View full abstract»

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  • On the removal of shadows from images

    Publication Year: 2006, Page(s):59 - 68
    Cited by:  Papers (177)  |  Patents (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (583 KB) | HTML iconHTML

    This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about lights and cameras leads to a 1D, gray-scale image representation which is illuminant invariant at each image pixel. We show that as a consequence, images represented in this form are shadow-free. We then extend this 1D representation to an equiv... View full abstract»

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  • Multisurface proximal support vector machine classification via generalized eigenvalues

    Publication Year: 2006, Page(s):69 - 74
    Cited by:  Papers (262)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (401 KB) | HTML iconHTML

    A new approach to support vector machine (SVM) classification is proposed wherein each of two data sets are proximal to one of two distinct planes that are not parallel to each other. Each plane is generated such that it is closest to one of the two data sets and as far as possible from the other data set. Each of the two nonparallel proximal planes is obtained by a single MATLAB command as the ei... View full abstract»

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  • Symbolic signatures for deformable shapes

    Publication Year: 2006, Page(s):75 - 90
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2040 KB) | HTML iconHTML

    Recognizing classes of objects from their shape is an unsolved problem in machine vision that entails the ability of a computer system to represent and generalize complex geometrical information on the basis of a finite amount of prior data. A practical approach to this problem is particularly difficult to implement, not only because the shape variability of relevant object classes is generally la... View full abstract»

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  • Multibody grouping by inference of multiple subspaces from high-dimensional data using oriented-frames

    Publication Year: 2006, Page(s):91 - 105
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4411 KB) | HTML iconHTML

    Recently, subspace constraints have been widely exploited in many computer vision problems such as multibody grouping. Under linear projection models, feature points associated with multiple bodies reside in multiple subspaces. Most existing factorization-based algorithms can segment objects undergoing independent motions. However, intersections among the correlated motion subspaces will lead most... View full abstract»

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  • Globally minimal surfaces by continuous maximal flows

    Publication Year: 2006, Page(s):106 - 118
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    In this paper, we address the computation of globally minimal curves and surfaces for image segmentation and stereo reconstruction. We present a solution, simulating a continuous maximal flow by a novel system of partial differential equations. Existing methods are either grid-biased (graph-based methods) or suboptimal (active contours and surfaces). The solution simulates the flow of an ideal flu... View full abstract»

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  • Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

    Publication Year: 2006, Page(s):119 - 134
    Cited by:  Papers (150)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1208 KB) | HTML iconHTML

    Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications. We have developed an optimal surface detection method capable of simultaneously detecting multiple interacting surfaces, in which the optimality is controlled by the cost functions designed for individual surfaces and b... View full abstract»

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  • Feature-based detection of facial landmarks from neutral and expressive facial images

    Publication Year: 2006, Page(s):135 - 139
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB) | HTML iconHTML

    Feature-based method for detecting landmarks from facial images was designed. The method was based on extracting oriented edges and constructing edge maps at two resolution levels. Edge regions with characteristic edge pattern formed landmark candidates. The method ensured invariance to expressions while detecting eyes. Nose and mouth detection was deteriorated by happiness and disgust. View full abstract»

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  • Consistency checks for particle filters

    Publication Year: 2006, Page(s):140 - 145
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (349 KB) | HTML iconHTML

    An "inconsistent" particle filter produces - in a statistical sense - larger estimation errors than predicted by the model on which the filter is based. Two test variables are introduced that allow the detection of inconsistent behavior. The statistical properties of the variables are analyzed. Experiments confirm their suitability for inconsistency detection. View full abstract»

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  • Reduced complexity rotation invariant texture classification using a blind deconvolution approach

    Publication Year: 2006, Page(s):145 - 149
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (447 KB) | HTML iconHTML

    In this paper, we present a texture classification procedure that makes use of a blind deconvolution approach. Specifically, the texture is modeled as the output of a linear system driven by a binary excitation. We show that features computed from one-dimensional slices extracted from the two-dimensional autocorrelation function (ACF) of the binary excitation allows representing the texture for ro... View full abstract»

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  • Boosting color saliency in image feature detection

    Publication Year: 2006, Page(s):150 - 156
    Cited by:  Papers (117)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1462 KB) | HTML iconHTML

    The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape-saliency of the local neighborhood. The majority of these detectors are luminance-based, which has the disadvantage that the distinctiveness of the local color information is completely ignored in dete... View full abstract»

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  • Learning vector quantization with training data selection

    Publication Year: 2006, Page(s):157 - 162
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (535 KB) | HTML iconHTML

    In this paper, we propose a method that selects a subset of the training data points to update LVQ prototypes. The main goal is to conduct the prototypes to converge at a more convenient location, diminishing misclassification errors. The method selects an update set composed by a subset of points considered to be at the risk of being captured by another class prototype. We associate the proposed ... View full abstract»

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  • Recovering articulated pose: a comparison of two pre and postimposed constraint methods

    Publication Year: 2006, Page(s):163 - 168
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (438 KB) | HTML iconHTML

    We contrast the performance of two methods of imposing constraints during the tracking of articulated objects, the first method preimposing the kinematic constraints during tracking and, thus, using the minimum degrees of freedom, and the second imposing constraints after tracking and, hence, using the maximum. Despite their very different formulations, the methods recover the same pose change. Fu... View full abstract»

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  • 2005 Reviewers List

    Publication Year: 2006, Page(s):169 - 174
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  • Call for Papers for Special Issue on Biometrics: Progress and Directions

    Publication Year: 2006, Page(s): 175
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  • [Advertisement]

    Publication Year: 2006, Page(s): 176
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  • TPAMI Information for authors

    Publication Year: 2006, Page(s): c3
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  • [Back cover]

    Publication Year: 2006, 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