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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 11 • Date Nov 1995

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Displaying Results 1 - 12 of 12
  • Occam algorithms for computing visual motion

    Publication Year: 1995, Page(s):1033 - 1042
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (888 KB)

    The standard approach to computing motion relies on pixel correspondence. Computational schemes impose additional constraints, such as smoothness and continuity of the motion vector even though these are not directly related to pixel correspondence. This paper proposes an alternative to the multiple constraints approach. By drawing analogy with machine learning, motion is computed as a function th... View full abstract»

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  • Structure and motion from line segments in multiple images

    Publication Year: 1995, Page(s):1021 - 1032
    Cited by:  Papers (110)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1052 KB)

    This paper presents a new method for recovering the three dimensional structure of a scene composed of straight line segments using the image data obtained from a moving camera. The recovery algorithm is formulated in terms of an objective function which measures the total squared distance in the image plane between the observed edge segments and the projections (perspective) of the reconstructed ... View full abstract»

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  • Image manipulation using m-filters in a pyramidal computer model

    Publication Year: 1995, Page(s):1110 - 1115
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB)

    This paper presents how morphological transformations can be related to representations of a set on different lattices. A hierarchical definition of structuring element conveys to a class of multigrid transformations Ψk that handle changes on discrete representations of regions. The transformations correspond to upward and downward processes in a hierarchical structure. Based on mul... View full abstract»

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  • Complete sets of complex Zernike moment invariants and the role of the pseudoinvariants

    Publication Year: 1995, Page(s):1106 - 1110
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    Moment invariants are important shape descriptors in computer vision. In this paper rules are presented to form complete sets of rotational invariants of arbitrary order given complex Zernike moments. The relevance of the pseudoinvariants is shown by inverting the rotational invariants to reconstruct the normalized image pattern View full abstract»

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  • Vanishing point detection by line clustering

    Publication Year: 1995, Page(s):1090 - 1095
    Cited by:  Papers (56)  |  Patents (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB)

    This paper presents a new method for the detection of vanishing points based on sub-pixel line descriptions which recognizes the existence of errors in feature detection and which does not rely on supervision or the arbitrary specification of thresholds. Image processing and image analysis are integrated into a coherent scheme which extracts straight line structure from images, develops a measure ... View full abstract»

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  • Texture roughness analysis and synthesis via extended self-similar (ESS) model

    Publication Year: 1995, Page(s):1043 - 1056
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1244 KB)

    The 2D fractional Brownian motion (FBM) model provides a useful tool to model textured surfaces whose roughness is scale-invariant. To represent textures whose roughness is scale-dependent, we generalize the FBM model to the extended self-similar (ESS) model in this research. We present an estimation algorithm to extract the model parameters from real texture data. Furthermore, a new incremental F... View full abstract»

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  • A constraint learning feedback dynamic model for stereopsis

    Publication Year: 1995, Page(s):1095 - 1100
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    This paper presents a stereo matcher inspired by the earlier work of Marr and Poggio (1976). Two major extensions are introduced: the algorithm is extended to gray-level images, and the inhibitory/excitatory weights of the model are learned rather than set a priori according to “uniqueness” and “continuity” constraints. Gray level stereo pairs of real scenes with known disp... View full abstract»

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  • Vector-based arc segmentation in the machine drawing understanding system environment

    Publication Year: 1995, Page(s):1057 - 1068
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1080 KB)

    Arcs are important primitives in engineering drawings. Extracting these primitives during the lexical analysis phase is a prerequisite to syntactic and semantic understanding of engineering drawings within the machine drawing understanding system. Bars are detected by the orthogonal zig-zag vectorization algorithm. Some of the detected bars are linear approximations of arcs. As such, they provide ... View full abstract»

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  • Enhancement of planar shape through optimization of functionals for curves

    Publication Year: 1995, Page(s):1101 - 1105
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    We show how optimization of the Nordstrom and Mumford-Shah functionals can be used to develop a type of curve-evolution that is able to preserve salient features of closed curves while simultaneously suppressing noise and irrelevant details. The idea is to characterize a curve by means of its angle-function and apply the appropriate dynamics to this representation. Upon convergence, the resulting ... View full abstract»

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  • Filtering image records using wavelets and the Zakai equation

    Publication Year: 1995, Page(s):1069 - 1078
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (928 KB)

    Consider the problem of detecting and localizing a faint object moving in an “essentially stationary” background, using a sequence of 2D low S/N ratio images of the scene. A natural approach consists of “digitizing” each snapshot into a discrete set of observations, sufficiently (perhaps not exactly) matched to the object in question, then tracking the object using an appro... View full abstract»

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  • On recovering hyperquadrics from range data

    Publication Year: 1995, Page(s):1079 - 1083
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (588 KB)

    This paper discusses the applications of hyperquadric models in computer vision and focuses on their recovery from range data. Hyperquadrics are volumetric shape models that include superquadrics as a special case. A hyperquadric model can be composed of any number of terms and its geometric bound is an arbitrary convex polytope. Thus, hyperquadrics can model more complex shapes than superquadrics... View full abstract»

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  • Deformable contours: modeling and extraction

    Publication Year: 1995, Page(s):1084 - 1090
    Cited by:  Papers (107)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB)

    This paper considers the problem of modeling and extracting arbitrary deformable contours from noisy images. We propose a global contour model based on a stable and regenerative shape matrix, which is invariant and unique under rigid motions. Combined with Markov random field to model local deformations, this yields prior distribution that exerts influence over a global model while allowing for de... 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
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu