IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 11 • Nov. 2004

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Displaying Results 1 - 17 of 17
  • [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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  • Introduction of new Associate Editors

    Publication Year: 2004, Page(s):1393 - 1394
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  • Convolutional face finder: a neural architecture for fast and robust face detection

    Publication Year: 2004, Page(s):1408 - 1423
    Cited by:  Papers (204)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1739 KB) | HTML iconHTML

    In this paper, we present a novel face detection approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns, rotated up to ±20 degrees in image plane and turned up to ±60 degrees, in complex real world images. The proposed system automatically synthesizes simple problem-specific feature extractors from a training set of face and n... View full abstract»

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  • Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings

    Publication Year: 2004, Page(s):1395 - 1407
    Cited by:  Papers (47)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1689 KB) | HTML iconHTML

    In integrated segmentation and recognition of character strings, the underlying classifier is trained to be resistant to noncharacters. We evaluate the performance of state-of-the-art pattern classifiers of this kind. First, we build a baseline numeral string recognition system with simple but effective presegmentation. The classification scores of the candidate patterns generated by presegmentati... View full abstract»

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  • Hybrid genetic algorithms for feature selection

    Publication Year: 2004, Page(s):1424 - 1437
    Cited by:  Papers (277)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2842 KB) | HTML iconHTML

    This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared. The hybridization technique produces two desirable effects: a significant improvement in th... View full abstract»

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  • Image distortion analysis using polynomial series expansion

    Publication Year: 2004, Page(s):1438 - 1451
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1321 KB) | HTML iconHTML

    In this paper, we derive a technique for analysis of local distortions which affect data in real-world applications. In the paper, we focus on image data, specifically handwritten characters. Given a reference image and a distorted copy of it, the method is able to efficiently determine the rotations, translations, scaling, and any other distortions that have been applied. Because the method is ro... View full abstract»

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  • Statistical region merging

    Publication Year: 2004, Page(s):1452 - 1458
    Cited by:  Papers (249)  |  Patents (44)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2805 KB) | HTML iconHTML

    This paper explores a statistical basis for a process often described in computer vision: image segmentation by region merging following a particular order in the choice of regions. We exhibit a particular blend of algorithmics and statistics whose segmentation error is, as we show, limited from both the qualitative and quantitative standpoints. This approach can be efficiently approximated in lin... View full abstract»

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  • Robust adaptive-scale parametric model estimation for computer vision

    Publication Year: 2004, Page(s):1459 - 1474
    Cited by:  Papers (76)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1772 KB) | HTML iconHTML

    Robust model fitting essentially requires the application of two estimators. The first is an estimator for the values of the model parameters. The second is an estimator for the scale of the noise in the (inlier) data. Indeed, we propose two novel robust techniques: the two-step scale estimator (TSSE) and the adaptive scale sample consensus (ASSC) estimator. TSSE applies nonparametric density esti... View full abstract»

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  • Learning to detect objects in images via a sparse, part-based representation

    Publication Year: 2004, Page(s):1475 - 1490
    Cited by:  Papers (414)  |  Patents (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2538 KB) | HTML iconHTML

    We study the problem of detecting objects in still, gray-scale images. Our primary focus is the development of a learning-based approach to the problem that makes use of a sparse, part-based representation. A vocabulary of distinctive object parts is automatically constructed from a set of sample images of the object class of interest; images are then represented using parts from this vocabulary, ... View full abstract»

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  • Effective multiresolution arc segmentation: algorithms and performance evaluation

    Publication Year: 2004, Page(s):1491 - 1506
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2255 KB) | HTML iconHTML

    Arc segmentation plays an important role in the process of graphics recognition from scanned images. The GREC arc segmentation contest shows that there is a lot of room for improvement in this area. This paper proposes a multiresolution arc segmentation method based on our previous seeded circular tracking algorithm which largely depends on the OOPSV model. The newly-introduced multiresolution par... View full abstract»

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  • A flexible similarity measure for 3D shapes recognition

    Publication Year: 2004, Page(s):1507 - 1520
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1572 KB) | HTML iconHTML

    This paper is devoted to presenting a new strategy for 3D objects recognition using a flexible similarity measure based on the recent modeling wave (MW) topology in spherical models. MW topology allows us to establish an n-connectivity relationship in 3D objects modeling meshes. Using the complete object model, a study on considering different partial information of the model has been carried out ... View full abstract»

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  • A POCS-based graph matching algorithm

    Publication Year: 2004, Page(s):1526 - 1530
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    A novel projections onto convex sets (POCS) graph matching algorithm is presented. Two-way assignment constraints are enforced without using elaborate penalty terms, graduated nonconvexity, or sophisticated annealing mechanisms to escape from poor local minima. Results indicate that the presented algorithm is robust and compares favorably to other well-known algorithms. View full abstract»

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  • Depth estimation and image restoration using defocused stereo pairs

    Publication Year: 2004, Page(s):1521 - 1525
    Cited by:  Papers (57)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (458 KB) | HTML iconHTML

    We propose a method for estimating depth from images captured with a real aperture camera by fusing defocus and stereo cues. The idea is to use stereo-based constraints in conjunction with defocusing to obtain improved estimates of depth over those of stereo or defocus alone. The depth map as well as the original image of the scene are modeled as Markov random fields with a smoothness prior, and t... View full abstract»

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  • Contour-based object tracking with occlusion handling in video acquired using mobile cameras

    Publication Year: 2004, Page(s):1531 - 1536
    Cited by:  Papers (238)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (645 KB) | HTML iconHTML

    We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band. Our approach has two major components related to the visual features and the object shape. Visual features (color,... View full abstract»

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  • [Inside back cover]

    Publication Year: 2004, Page(s): c3
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  • TPAMI Information for authors

    Publication Year: 2004, 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