IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 1 • Jan. 2001

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Displaying Results 1 - 9 of 9
  • Introduction of new Associate Editors

    Publication Year: 2001, Page(s):3 - 4
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    Freely Available from IEEE
  • ROR: rejection of outliers by rotations

    Publication Year: 2001, Page(s):78 - 84
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1382 KB) | HTML iconHTML

    We address the problem of rejecting false matches of points between two perspective views. The two views are taken from two arbitrary, unknown positions and orientations. We present an algorithm for identification of the false matches between the views. The algorithm exploits the possibility of rotating one of the images to achieve some common behavior of the correct matches. Those matches that de... View full abstract»

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  • 2000 reviewers list

    Publication Year: 2001, Page(s):91 - 96
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    Freely Available from IEEE
  • A unified model for probabilistic principal surfaces

    Publication Year: 2001, Page(s):22 - 41
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4600 KB) | HTML iconHTML

    Principal curves and surfaces are nonlinear generalizations of principal components and subspaces, respectively. They can provide insightful summary of high-dimensional data not typically attainable by classical linear methods. Solutions to several problems, such as proof of existence and convergence, faced by the original principal curve formulation have been proposed in the past few years. Never... View full abstract»

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  • A new method for mining regression classes in large data sets

    Publication Year: 2001, Page(s):5 - 21
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1564 KB) | HTML iconHTML

    Extracting patterns and models of interest from large databases is attracting much attention in a variety of disciplines. Knowledge discovery in databases (KDD) and data mining (DM) are areas of common interest to researchers in machine learning, pattern recognition, statistics, artificial intelligence, and high performance computing. An effective and robust method, the regression class mixture de... View full abstract»

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  • Unsupervised multiresolution segmentation for images with low depth of field

    Publication Year: 2001, Page(s):85 - 90
    Cited by:  Papers (86)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2100 KB) | HTML iconHTML

    Unsupervised segmentation of images with low depth of field (DOF) is highly useful in various applications. This paper describes a novel multiresolution image segmentation algorithm for low DOF images. The algorithm is designed to separate a sharply focused object-of-interest from other foreground or background objects. The algorithm is fully automatic in that all parameters are image independent.... View full abstract»

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  • Threading fundamental matrices

    Publication Year: 2001, Page(s):73 - 77
    Cited by:  Papers (29)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (744 KB) | HTML iconHTML

    We present a new function that operates on fundamental matrices across a sequence of views. The operation, we call “threading”, connects two consecutive fundamental matrices using the trifocal tensor as the connecting thread. The threading operation guarantees that consecutive camera matrices are consistent with a unique 3D model, without ever recovering a 3D model. Applications includ... View full abstract»

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  • A fast and accurate face detector based on neural networks

    Publication Year: 2001, Page(s):42 - 53
    Cited by:  Papers (125)  |  Patents (64)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1364 KB) | HTML iconHTML

    Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a neural network model: the constrained generative model (CGM). Generative, since the goal of the learning process is to evaluate the probability that the model has generated the input data, and constrained since some counter-examples are used to increase the qu... View full abstract»

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  • Resolving motion correspondence for densely moving points

    Publication Year: 2001, Page(s):54 - 72
    Cited by:  Papers (153)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1564 KB) | HTML iconHTML

    Studies the motion correspondence problem for which a diversity of qualitative and statistical solutions exist. We concentrate on qualitative modeling, especially in situations where assignment conflicts arise either because multiple features compete for one detected point or because multiple detected points fit a single feature point. We leave out the possibility of point track initiation and ter... View full abstract»

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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