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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 5 • Date May 2001

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Displaying Results 1 - 9 of 9
  • Automatic construction of 2D shape models

    Publication Year: 2001, Page(s):433 - 446
    Cited by:  Papers (37)  |  Patents (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (724 KB) | HTML iconHTML

    A procedure for automated 2D shape model design is presented. The system is given a set of training example shapes defined by contour point coordinates. The shapes are automatically aligned using Procrustes analysis and clustered to obtain cluster prototypes (typical objects) and statistical information about intracluster shape variation. One difference from previous methods is that the training s... View full abstract»

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  • Deformable shape detection and description via model-based region grouping

    Publication Year: 2001, Page(s):475 - 489
    Cited by:  Papers (60)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1460 KB) | HTML iconHTML

    A method for deformable shape detection and recognition is described. Deformable shape templates are used to partition the image into a globally consistent interpretation, determined in part by the minimum description length principle. Statistical shape models enforce the prior probabilities on global, parametric deformations for each object class. Once trained, the system autonomously segments de... View full abstract»

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  • Object recognition using shape-from-shading

    Publication Year: 2001, Page(s):535 - 542
    Cited by:  Papers (14)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB) | HTML iconHTML

    Investigates whether surface topography information extracted from intensity images using a shape-from-shading (SFS) algorithm can be used for the purposes of 3D object recognition. We consider how curvature and shape-index information delivered by this algorithm can be used to recognize objects based on their surface topography. We explore two contrasting object recognition strategies. The first ... View full abstract»

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  • A computational method for segmenting topological point-sets and application to image analysis

    Publication Year: 2001, Page(s):447 - 459
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1096 KB) | HTML iconHTML

    We propose a computational method for segmenting topological subdimensional point-sets in scalar images of arbitrary spatial dimensions. The technique is based on calculating the homotopy class defined by the gradient vector in a subdimensional neighborhood around every image point. This neighborhood is defined as the linear envelope spawned over a given subdimensional vector frame. In the simples... View full abstract»

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  • A maximum-likelihood strategy for directing attention during visual search

    Publication Year: 2001, Page(s):490 - 500
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (972 KB) | HTML iconHTML

    A precise analysis of an entire image is computationally wasteful if one is interested in finding a target object located in a subregion of the image. A useful “attention strategy” can reduce the overall computation by carrying out fast but approximate image measurements and using their results to suggest a promising subregion. The paper proposes a maximum-likelihood attention mechanis... View full abstract»

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  • Multiseeded segmentation using fuzzy connectedness

    Publication Year: 2001, Page(s):460 - 474
    Cited by:  Papers (66)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1424 KB) | HTML iconHTML

    Fuzzy connectedness has been effectively used to segment out an object in a badly corrupted image. We generalize the approach by providing a definition which is shown to always determine a simultaneous segmentation of multiple objects. For any set of seed points, the segmentation is uniquely determined by the definition. An algorithm for finding this segmentation is presented and its output is ill... View full abstract»

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  • Detection and modeling of buildings from multiple aerial images

    Publication Year: 2001, Page(s):501 - 518
    Cited by:  Papers (83)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2964 KB) | HTML iconHTML

    Automatic detection and description of cultural features, such as buildings, from aerial images is becoming increasingly important for a number of applications. This task also offers an excellent domain for studying the general problems of scene segmentation, 3D inference, and shape description under highly challenging conditions. We describe a system that detects and constructs 3D models for rect... View full abstract»

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  • Projective alignment with regions

    Publication Year: 2001, Page(s):519 - 527
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB) | HTML iconHTML

    We have previously proposed (Basri and Jacobs, 1999, and Jacobs and Basri, 1999) an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an attractive alternative to existing global and local approaches, since, unlike global features, they can handle occlusion and segmentation errors, and unlike local feat... View full abstract»

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  • A Bayesian method for fitting parametric and nonparametric models to noisy data

    Publication Year: 2001, Page(s):528 - 534
    Cited by:  Papers (31)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    We present a simple paradigm for fitting models, parametric and nonparametric, to noisy data, which resolves some of the problems associated with classical MSE algorithms. This is done by considering each point on the model as a possible source for each data point. The paradigm can be used to solve problems which are ill-posed in the classical MSE approach, such as fitting a segment (as opposed to... 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.

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Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu