IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 2 • Feb. 2006

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Displaying Results 1 - 19 of 19
  • [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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  • Editorial-State of the Transactions

    Publication Year: 2006, Page(s): 177
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  • Kernel matched subspace detectors for hyperspectral target detection

    Publication Year: 2006, Page(s):178 - 194
    Cited by:  Papers (47)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8593 KB) | HTML iconHTML

    In this paper, we present a kernel realization of a matched subspace detector (MSD) that is based on a subspace mixture model defined in a high-dimensional feature space associated with a kernel function. The linear subspace mixture model for the MSD is first reformulated in a high-dimensional feature space and then the corresponding expression for the generalized likelihood ratio test (GLRT) is o... View full abstract»

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  • Restoring warped document images through 3D shape modeling

    Publication Year: 2006, Page(s):195 - 208
    Cited by:  Papers (28)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3763 KB) | HTML iconHTML

    Scanning a document page from a thick bound volume often results in two kinds of distortions in the scanned image, i.e., shade along the "spine" of the book and warping in the shade area. In this paper, we propose an efficient restoration method based on the discovery of the 3D shape of a book surface from the shading information in a scanned document image. From a technical point of view, this sh... View full abstract»

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  • Channel smoothing: efficient robust smoothing of low-level signal features

    Publication Year: 2006, Page(s):209 - 222
    Cited by:  Papers (30)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2897 KB) | HTML iconHTML

    In this paper, we present a new and efficient method to implement robust smoothing of low-level signal features: B-spline channel smoothing. This method consists of three steps: encoding of the signal features into channels, averaging of the channels, and decoding of the channels. We show that linear smoothing of channels is equivalent to robust smoothing of the signal features if we make use of q... View full abstract»

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  • A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information

    Publication Year: 2006, Page(s):223 - 235
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2178 KB) | HTML iconHTML

    A parametric linear feature extraction method is proposed for multiclass classification. The skeleton of the proposed method consists of two types of schemes that are complementary to each other with regard to the discriminant information used. The approximate pairwise accuracy criterion (aPAC) and the common-mean feature extraction (CMFE) are chosen to exploit the discriminant information about c... View full abstract»

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  • Data driven image models through continuous joint alignment

    Publication Year: 2006, Page(s):236 - 250
    Cited by:  Papers (127)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2479 KB) | HTML iconHTML

    This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar as possible by removing variability along the known axes of variation. This technique can be used to eliminate "nuisance" variables such as affine deformations from handwritten digits or unwanted bias fields from magnetic... View full abstract»

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  • Attention-based dynamic visual search using inner-scene similarity: algorithms and bounds

    Publication Year: 2006, Page(s):251 - 264
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2543 KB) | HTML iconHTML

    A visual search is required when applying a recognition process on a scene containing multiple objects. In such cases, we would like to avoid an exhaustive sequential search. This work proposes a dynamic visual search framework based mainly on inner-scene similarity. Given a number of candidates (e.g., subimages), we hypothesize is that more visually similar candidates are more likely to have the ... View full abstract»

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  • Global segmentation and curvature analysis of volumetric data sets using trivariate B-spline functions

    Publication Year: 2006, Page(s):265 - 278
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1934 KB) | HTML iconHTML Multimedia Media

    This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfaces, and volumetric regions with saddle-like (hyperbolic) iso-surfaces, regardless of the value of the iso-surface level. The proposed scheme relies on a novel approach to globally compute, bound, and analyze the Gaussian... View full abstract»

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  • A dynamic conditional random field model for foreground and shadow segmentation

    Publication Year: 2006, Page(s):279 - 289
    Cited by:  Papers (77)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1890 KB) | HTML iconHTML

    This paper proposes a dynamic conditional random field (DCRF) model for foreground object and moving shadow segmentation in indoor video scenes. Given an image sequence, temporal dependencies of consecutive segmentation fields and spatial dependencies within each segmentation field are unified by a dynamic probabilistic framework based on the conditional random field (CRF). An efficient approximat... View full abstract»

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  • Stereo matching with linear superposition of layers

    Publication Year: 2006, Page(s):290 - 301
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3136 KB) | HTML iconHTML

    In this paper, we address stereo matching in the presence of a class of non-Lambertian effects, where image formation can be modeled as the additive superposition of layers at different depths. The presence of such effects makes it impossible for traditional stereo vision algorithms to recover depths using direct color matching-based methods. We develop several techniques to estimate both depths a... View full abstract»

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  • Robust structure and motion from outlines of smooth curved surfaces

    Publication Year: 2006, Page(s):302 - 315
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4745 KB) | HTML iconHTML

    This paper addresses the problem of estimating the motion of a camera as it observes the outline (or apparent contour) of a solid bounded by a smooth surface in successive image frames. In this context, the surface points that project onto the outline of an object depend on the viewpoint and the only true correspondences between two outlines of the same object are the projections of frontier point... View full abstract»

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  • Individual recognition using gait energy image

    Publication Year: 2006, Page(s):316 - 322
    Cited by:  Papers (499)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1484 KB) | HTML iconHTML

    In this paper, we propose a new spatio-temporal gait representation, called Gait Energy Image (GEI), to characterize human walking properties for individual recognition by gait. To address the problem of the lack of training templates, we also propose a novel approach for human recognition by combining statistical gait features from real and synthetic templates. We directly compute the real templa... View full abstract»

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  • Wavelet approximation-based affine invariant shape representation functions

    Publication Year: 2006, Page(s):323 - 327
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1049 KB) | HTML iconHTML

    In this paper, new wavelet-based affine invariant functions for shape representation are presented. Unlike the previous representation functions, only the approximation coefficients are used to obtain the proposed functions. One of the derived functions is computed by applying a single wavelet transform; the other function is calculated by applying two different wavelet transforms with two differe... View full abstract»

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  • Implicit meshes for surface reconstruction

    Publication Year: 2006, Page(s):328 - 333
    Cited by:  Papers (12)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1750 KB) | HTML iconHTML

    Deformable 3D models can be represented either as traditional explicit surfaces, such as triangulated meshes, or as implicit surfaces. Explicit surfaces are widely accepted because they are simple to deform and render, but fitting them involves minimizing a nondifferentiable distance function. By contrast, implicit surfaces allow fitting by minimizing a differentiate algebraic distance, but are ha... View full abstract»

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  • [Advertisement]

    Publication Year: 2006, Page(s):334 - 336
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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
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu