IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 4 • Apr 1997

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Displaying Results 1 - 12 of 12
  • Recognition of digits in hydrographic maps: binary versus topographic analysis

    Publication Year: 1997, Page(s):399 - 404
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2552 KB)

    Compares the performance of topographic analysis and binary analysis for recognition of digits in hydrographic maps. The performance of each method was measured by the correct classification rate of the final symbol recognition step when processing a complete hydrographic map of size 0.45×0.6 m2 with about 35000 digits. The experimental results indicated that binary analysis had a... View full abstract»

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  • On-line fingerprint verification

    Publication Year: 1997, Page(s):302 - 314
    Cited by:  Papers (618)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7084 KB)

    Fingerprint verification is one of the most reliable personal identification methods. However, manual fingerprint verification is incapable of meeting today's increasing performance requirements. An automatic fingerprint identification system (AFIS) is needed. This paper describes the design and implementation of an online fingerprint verification system which operates in two stages: minutia extra... View full abstract»

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  • An edge detection technique using the facet model and parameterized relaxation labeling

    Publication Year: 1997, Page(s):328 - 341
    Cited by:  Papers (17)  |  Patents (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB)

    We present a method for detecting and labeling the edge structures in digital gray-scale images in two distinct stages: First, a variant of the cubic facet model is applied to detect the location, orientation and curvature of the putative edge points. Next, a relaxation labeling network is used to reinforce meaningful edge structures and suppress noisy edges. Each node label of this network is a 3... View full abstract»

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  • Minimal surfaces based object segmentation

    Publication Year: 1997, Page(s):394 - 398
    Cited by:  Papers (114)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    A geometric approach for 3D object segmentation and representation is presented. The segmentation is obtained by deformable surfaces moving towards the objects to be detected in the 3D image. The model is based on curvature motion and the computation of surfaces with minimal areas, better known as minimal surfaces. The space where the surfaces are computed is induced from the 3D image (volumetric ... View full abstract»

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  • The effect of Gaussian error in object recognition

    Publication Year: 1997, Page(s):289 - 301
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1164 KB)

    In model based recognition, the goal is to locate an instance of one or more known objects in an image. The problem is compounded in real images by the presence of clutter, occlusion, and sensor error, which can lead to “false negatives”, failures to recognize the presence of the object, and “false positives”, in which the algorithm incorrectly identifies an occurrence of t... View full abstract»

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  • Model-based image enhancement of far infrared images

    Publication Year: 1997, Page(s):410 - 415
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2308 KB)

    We devise enhancement algorithms for far infrared images based upon a model of an idealized far infrared image being piecewise-constant. We then apply two known enhancement algorithms: median filtering and spatial homomorphic filtering, and then extend the model to develop spatio-temporal homomorphic filtering. The algorithms have been applied to several image sequences and work well, showing sign... View full abstract»

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  • Inducing features of random fields

    Publication Year: 1997, Page(s):380 - 393
    Cited by:  Papers (281)  |  Patents (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1176 KB)

    We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs. Each feature has a weight that is trained by minimizing the Kullback-Leibler divergence between the model and the empirical distribution of the training data. ... View full abstract»

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  • A lexicon driven approach to handwritten word recognition for real-time applications

    Publication Year: 1997, Page(s):366 - 379
    Cited by:  Papers (132)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented using a chain code representation of the word contour. Dynamic matching between characters of a lexicon entry and segment(s) of the input word image is used to rank the lexicon entries in order of best match. Variable durat... View full abstract»

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  • Learning an integral equation approximation to nonlinear anisotropic diffusion in image processing

    Publication Year: 1997, Page(s):342 - 352
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1164 KB)

    Multiscale image enhancement and representation is an important part of biological and machine early vision systems. The process of constructing this representation must be both rapid and insensitive to noise, while retaining image structure at all scales. This is a complex task as small scale structure is difficult to distinguish from noise, while larger scale structure requires more computationa... View full abstract»

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  • Combination of multiple classifiers using local accuracy estimates

    Publication Year: 1997, Page(s):405 - 410
    Cited by:  Papers (427)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB)

    This paper presents a method for combining classifiers that uses estimates of each individual classifier's local accuracy in small regions of feature space surrounding an unknown test sample. An empirical evaluation using five real data sets confirms the validity of our approach compared to some other combination of multiple classifiers algorithms. We also suggest a methodology for determining the... View full abstract»

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  • Finite-resolution aspect graphs of polyhedral objects

    Publication Year: 1997, Page(s):315 - 327
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB)

    We address the problem of computing the aspect graph of a polyhedral object observed by an orthographic camera with limited spatial resolution, such that two image points separated by a distance smaller than a preset threshold cannot be resolved. Under this model, views that would differ under normal orthographic projection may become equivalent, while “accidental” views may occur over... View full abstract»

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  • Parametric shape-from-shading by radial basis functions

    Publication Year: 1997, Page(s):353 - 365
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2296 KB)

    We present a new method of shape from shading by using radial basis functions to parameterize the object depth. The radial basis functions are deformed by adjusting their centers, widths, and weights such that the intensity errors are minimized. The initial centers and widths are arranged hierarchically to speed up convergence and to stabilize the solution. Although the smoothness constraint is us... 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