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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 6 • Jun 1998

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Displaying Results 1 - 9 of 9
  • A unified approach to moving object detection in 2D and 3D scenes

    Publication Year: 1998, Page(s):577 - 589
    Cited by:  Papers (168)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5212 KB)

    The detection of moving objects is important in many tasks. Previous approaches to this problem can be broadly divided into two classes: 2D algorithms which apply when the scene can be approximated by a flat surface and/or when the camera is only undergoing rotations and zooms, and 3D algorithms which work well only when significant depth variations are present in the scene and the camera is trans... View full abstract»

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  • Stochastic relaxation on partitions with connected components and its application to image segmentation

    Publication Year: 1998, Page(s):619 - 636
    Cited by:  Papers (41)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2216 KB)

    We present a new method of segmentation in which images are segmented in partitions with connected components. We give computationally inexpensive algorithms for probability simulation and simulated annealing on the space of partitions with connected components of a general graph. In particular, Hastings algorithms (1970) and generalized Metropolis algorithms are defined to avoid heavy computation... View full abstract»

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  • Conundrum of combinatorial complexity

    Publication Year: 1998, Page(s):666 - 670
    Cited by:  Papers (68)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (40 KB)

    This paper examines fundamental problems underlying difficulties encountered by pattern recognition algorithms, neural networks, and rule systems. These problems are manifested as combinatorial complexity of algorithms, of their computational or training requirements. The paper relates particular types of complexity problems to the roles of a priori knowledge and adaptive learning. Paradigms based... View full abstract»

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  • Pictorial recognition of objects employing affine invariance in the frequency domain

    Publication Year: 1998, Page(s):604 - 618
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1096 KB)

    Describes an efficient approach to pose invariant pictorial object recognition employing spectral signatures of image patches that correspond to object surfaces which are roughly planar. Based on singular value decomposition (SVD), the affine transform is decomposed into slant, tilt, swing, scale, and 2D translation. Unlike previous log-polar representations which were not invariant to slant, our ... View full abstract»

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  • Risk-sensitive filters for recursive estimation of motion from images

    Publication Year: 1998, Page(s):659 - 666
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB)

    In this paper, an extended risk-sensitive filter (ERSF) is used to estimate the motion parameters of an object recursively from a sequence of monocular images. The effect of varying the risk factor θ on the estimation error is examined. The performance of the filter is compared with the extended Kalman filter (EKF) and the theoretical Cramer-Rao lower bound. When the risk factor θ and ... View full abstract»

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  • Degraded image analysis: an invariant approach

    Publication Year: 1998, Page(s):590 - 603
    Cited by:  Papers (130)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1348 KB)

    Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by blurring, spatial degradations, and random noise. Classical methods like blind deconvolution try to estimate the blur parameters and to restore the image. We propose an alternative approach. We derive the features for image... View full abstract»

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  • Support vector machines for 3D object recognition

    Publication Year: 1998, Page(s):637 - 646
    Cited by:  Papers (408)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1724 KB)

    Support vector machines (SVMs) have been recently proposed as a new technique for pattern recognition. Intuitively, given a set of points which belong to either of two classes, a linear SVM finds the hyperplane leaving the largest possible fraction of points of the same class on the same side, while maximizing the distance of either class from the hyperplane. The hyperplane is determined by a subs... View full abstract»

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  • Binary restoration of thin objects in multidimensional imagery

    Publication Year: 1998, Page(s):647 - 651
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    We present a method for restoration of noisy tomographic images for detecting thin objects, such as explosives. Use of a weighted mean-square estimate optimizes the solution to place emphasis on the infrequent, but significant local structure associated with thin objects. Experimental results show successful restoration at very high noise levels View full abstract»

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  • Recovering affine motion and defocus blur simultaneously

    Publication Year: 1998, Page(s):652 - 658
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1180 KB)

    Motion in depth and/or zooming cause defocus blur. We show how the defocus blur in an image can be recovered simultaneously with affine motion. We introduce the theory, develop a solution method and demonstrate the validity of the theory and the solution by conducting experiments with real scenery 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