By Topic

IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 10 • Date Oct 2002

Filter Results

Displaying Results 1 - 11 of 11
  • Generalized spatio-chromatic diffusion

    Publication Year: 2002, Page(s):1298 - 1309
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1816 KB) | HTML iconHTML

    A framework for diffusion of color images is presented. The method is based on the theory of thermodynamics of irreversible transformations which provides a suitable basis for designing correlations between the different color channels. More precisely, we derive an equation for color evolution which comprises a purely spatial diffusive term and a nonlinear term that depends on the interactions amo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A maximum-likelihood surface estimator for dense range data

    Publication Year: 2002, Page(s):1372 - 1387
    Cited by:  Papers (10)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2510 KB) | HTML iconHTML

    Describes how to estimate 3D surface models from dense sets of noisy range data taken from different points of view, i.e., multiple range maps. The proposed method uses a sensor model to develop an expression for the likelihood of a 3D surface, conditional on a set of noisy range measurements. Optimizing this likelihood with respect to the model parameters provides an unbiased and efficient estima... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Reconstructing surfaces by volumetric regularization using radial basis functions

    Publication Year: 2002, Page(s):1358 - 1371
    Cited by:  Papers (57)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1409 KB) | HTML iconHTML

    We present a new method of surface reconstruction that generates smooth and seamless models from sparse, noisy, nonuniform, and low resolution range data. Data acquisition techniques from computer vision, such as stereo range images and space carving, produce 3D point sets that are imprecise and nonuniform when compared to laser or optical range scanners. Traditional reconstruction algorithms desi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Generalized mosaicing: wide field of view multispectral imaging

    Publication Year: 2002, Page(s):1334 - 1348
    Cited by:  Papers (26)  |  Patents (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1136 KB) | HTML iconHTML

    We present an approach to significantly enhance the spectral resolution of imaging systems by generalizing image mosaicing. A filter transmitting spatially varying spectral bands is rigidly attached to a camera. As the system moves, it senses each scene point multiple times, each time in a different spectral band. This is an additional dimension of the generalized mosaic paradigm, which has demons... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Restoration of archival documents using a wavelet technique

    Publication Year: 2002, Page(s):1399 - 1404
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1789 KB) | HTML iconHTML

    This paper addresses a problem of restoring handwritten archival documents by recovering their contents from the interfering handwriting on the reverse side caused by the seeping of ink. We present a novel method that works by first matching both sides of a document such that the interfering strokes are mapped with the corresponding strokes originating from the reverse side. This facilitates the i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Elastically adaptive deformable models

    Publication Year: 2002, Page(s):1310 - 1321
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2014 KB) | HTML iconHTML

    We present a technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The novelty of the technique is that the model's elastic parameters are not constant, but spatio-temporally varying. The variation of the elastic parameters depends on the distance of the model from the data and the rate of change of thi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic multilevel thresholding for image segmentation by the growing time adaptive self-organizing map

    Publication Year: 2002, Page(s):1388 - 1393
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (645 KB) | HTML iconHTML

    In this paper, a Growing TASOM (Time Adaptive Self-Organizing Map) network called "GTASOM" along with a peak finding process is proposed for automatic multilevel thresholding. The proposed GTASOM is tested for image segmentation. Experimental results demonstrate that the GTASOM is a reliable and accurate tool for image segmentation and its results outperform other thresholding methods. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient simplicial reconstructions of manifolds from their samples

    Publication Year: 2002, Page(s):1349 - 1357
    Cited by:  Papers (14)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (367 KB) | HTML iconHTML

    An algorithm for manifold learning is presented. Given only samples of a finite-dimensional differentiable manifold and no a priori knowledge of the manifold's geometry or topology except for its dimension, the goal is to find a description of the manifold. The learned manifold must approximate the true manifold well, both geometrically and topologically, when the sampling density is sufficiently ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Estimating the intrinsic dimension of data with a fractal-based method

    Publication Year: 2002, Page(s):1404 - 1407
    Cited by:  Papers (72)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (254 KB) | HTML iconHTML

    In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fractal-based approach using the Grassberger-Procaccia algorithm is proposed. Since the Grassberger-Procaccia algorithm (1983) performs badly on sets of high dimensionality, an empirical procedure that improves the original algorithm has been developed. The procedure has been tested on data sets of kn... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Analytic PCA construction for theoretical analysis of lighting variability in images of a Lambertian object

    Publication Year: 2002, Page(s):1322 - 1333
    Cited by:  Papers (113)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (564 KB) | HTML iconHTML

    We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. We analytically construct the principal component analysis for images of a convex Lambertian object, explicitly taking attached shadows into account, and find the principal eigenmodes and eigenvalues with respect to lighti... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Infrared-image classification using hidden Markov trees

    Publication Year: 2002, Page(s):1394 - 1398
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (534 KB) | HTML iconHTML

    An image of a three-dimensional target is generally characterized by the visible target subcomponents, with these dictated by the target-sensor orientation (target pose). An image often changes quickly with variable pose. We define a class as a set of contiguous target-sensor orientations over which the associated target image is relatively stationary with aspect. Each target is in general charact... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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