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Pattern Analysis and Machine Intelligence, IEEE Transactions on

Issue 3 • Date March 2009

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Displaying Results 1 - 18 of 18
  • [Front cover]

    Publication Year: 2009 , Page(s): c1
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  • [Inside front cover]

    Publication Year: 2009 , Page(s): c2
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  • Active Polarization Descattering

    Publication Year: 2009 , Page(s): 385 - 399
    Cited by:  Papers (25)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1445 KB) |  | HTML iconHTML  

    Vision in scattering media is important but challenging. Images suffer from poor visibility due to backscattering and attenuation. Most prior methods for scene recovery use active illumination scanners (structured and gated), which can be slow and cumbersome, while natural illumination is inapplicable to dark environments. The current paper addresses the need for a non-scanning recovery method, th... View full abstract»

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  • An Adaptable-Multilayer Fractional Fourier Transform Approach for Image Registration

    Publication Year: 2009 , Page(s): 400 - 414
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3029 KB) |  | HTML iconHTML  

    A novel adaptable accurate way for calculating polar FFT and log-polar FFT is developed in this paper, named multilayer fractional Fourier transform (MLFFT). MLFFT is a necessary addition to the pseudo-polar FFT for the following reasons: It has lower interpolation errors in both polar and log-polar Fourier transforms; it reaches better accuracy with the nearly same computing complexity as the pse... View full abstract»

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  • Efficient Polyhedral Modeling from Silhouettes

    Publication Year: 2009 , Page(s): 414 - 427
    Cited by:  Papers (36)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2974 KB) |  | HTML iconHTML  

    Modeling from silhouettes is a popular and useful topic in computer vision. Many methods exist to compute the surface of the visual hull from silhouettes, but few address the problem of ensuring good topological properties of the surface, such as manifoldness. This article provides an efficient algorithm to compute such a surface in the form of a polyhedral mesh. It relies on a small number of geo... View full abstract»

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  • Fractional Stereo Matching Using Expectation-Maximization

    Publication Year: 2009 , Page(s): 428 - 443
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2831 KB) |  | HTML iconHTML  

    In our fractional stereo matching problem, a foreground object with a fractional boundary is blended with a background scene using unknown transparencies. Due to the spatially varying disparities in different layers, one foreground pixel may be blended with different background pixels in stereo images, making the color constancy commonly assumed in traditional stereo matching not hold any more. To... View full abstract»

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  • Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals

    Publication Year: 2009 , Page(s): 444 - 457
    Cited by:  Papers (35)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5174 KB) |  | HTML iconHTML  

    This article primarily concerns the problem of isolated handwritten numeral recognition of major Indian scripts. The principal contributions presented here are (a) pioneering development of two databases for handwritten numerals of two most popular Indian scripts, (b) a multistage cascaded recognition scheme using wavelet based multiresolution representations and multilayer perceptron classifiers ... View full abstract»

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  • A Perceptually Inspired Variational Framework for Color Enhancement

    Publication Year: 2009 , Page(s): 458 - 474
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1946 KB) |  | HTML iconHTML  

    Basic phenomenology of human color vision has been widely taken as an inspiration to devise explicit color correction algorithms. The behavior of these models in terms of significative image features (such as, e.g., contrast and dispersion) can be difficult to characterize. To cope with this, we propose to use a variational formulation of color contrast enhancement that is inspired by the basic ph... View full abstract»

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  • Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration

    Publication Year: 2009 , Page(s): 475 - 491
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3879 KB) |  | HTML iconHTML  

    We present a new, geometric approach for determining the probability density of the intensity values in an image. We drop the notion of an image as a set of discrete pixels, and assume a piecewise-continuous representation. The probability density can then be regarded as being proportional to the area between two nearby isocontours of the image surface. Our paper extends this idea to joint densiti... View full abstract»

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  • Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handling

    Publication Year: 2009 , Page(s): 492 - 504
    Cited by:  Papers (115)  |  Patents (15)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4709 KB) |  | HTML iconHTML  

    In this paper, we formulate a stereo matching algorithm with careful handling of disparity, discontinuity, and occlusion. The algorithm works with a global matching stereo model based on an energy-minimization framework. The global energy contains two terms, the data term and the smoothness term. The data term is first approximated by a color-weighted correlation, then refined in occluded and low-... View full abstract»

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  • Tracking Multiple Occluding People by Localizing on Multiple Scene Planes

    Publication Year: 2009 , Page(s): 505 - 519
    Cited by:  Papers (90)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3355 KB) |  | HTML iconHTML  

    Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individual people correctly and consistently, particularly in a single view. We present a multi-view approach to solving this problem. In our approach we neither detect nor track objects from any single camera or camera pair; rather evidence is gathered from all the cameras into a synergistic framework and ... View full abstract»

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  • Tracking People on a Torus

    Publication Year: 2009 , Page(s): 520 - 538
    Cited by:  Papers (23)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4758 KB) |  | HTML iconHTML  

    We present a framework for monocular 3D kinematic pose tracking and viewpoint estimation of periodic and quasi-periodic human motions from an uncalibrated camera. The approach we introduce here is based on learning both the visual observation manifold and the kinematic manifold of the motion using a joint representation. We show that the visual manifold of the observed shape of a human performing ... View full abstract»

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  • Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models

    Publication Year: 2009 , Page(s): 539 - 555
    Cited by:  Papers (33)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4712 KB) |  | HTML iconHTML  

    We propose a novel unsupervised learning framework to model activities and interactions in crowded and complicated scenes. Hierarchical Bayesian models are used to connect three elements in visual surveillance: low-level visual features, simple "atomic" activities, and interactions. Atomic activities are modeled as distributions over low-level visual features, and multi-agent interactions are mode... View full abstract»

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  • A New Algorithm for 3D Reconstruction from Support Functions

    Publication Year: 2009 , Page(s): 556 - 562
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1752 KB) |  | HTML iconHTML  

    We introduce a new algorithm for reconstructing an unknown shape from a finite number of noisy measurements of its support function. The algorithm, based on a least squares procedure, is very easy to program in standard software such as Matlab, and it works for both 2D and 3D reconstructions (in fact, in principle, in any dimension). Reconstructions may be obtained without any pre- or post-process... View full abstract»

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  • Hypergraph-Based Anomaly Detection of High-Dimensional Co-Occurrences

    Publication Year: 2009 , Page(s): 563 - 569
    Cited by:  Papers (5)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (450 KB) |  | HTML iconHTML  

    This paper addresses the problem of detecting anomalous multivariate co-occurrences using a limited number of unlabeled training observations. A novel method based on using a hypergraph representation of the data is proposed to deal with this very high-dimensional problem. Hypergraphs constitute an important extension of graphs which allow edges to connect more than two vertices simultaneously. A ... View full abstract»

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  • Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

    Publication Year: 2009 , Page(s): 570 - 576
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1843 KB) |  | HTML iconHTML  

    We introduce a classification-based approach to finding occluding texture boundaries. The classifier is composed of a set of weak learners which operate on image intensity discriminative features which are defined on small patches and fast to compute. A database which is designed to simulate digitized occluding contours of textured objects in natural images is used to train the weak learners. The ... View full abstract»

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  • TPAMI Information for authors

    Publication Year: 2009 , Page(s): c3
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    Freely Available from IEEE
  • [Back cover]

    Publication Year: 2009 , 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