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  • 1
    Electronic Resource
    Electronic Resource
    Organization of smooth image curves at multiple scales (1989)
    Springer
    International journal of computer vision 3 (1989), S. 119-130 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract While edge detection is an important first step for many vision systems, the linked lists of edge points produced by most existing edge detectors lack the higher level of curve description needed for many visual tasks. For example, they do not specify the tangent direction or curvature of an edge or the locations of tangent discontinuities. In this paper, a method is presented for describing linked edge points at a range of scales by selecting intervals of the curve and scales of smoothing that are most likely to represent the underlying structure of the scene. This multiscale analysis of curves is complementary to any multiscale detection of the original edge points. A solution is presented for the problem of shrinkage of curves during Gaussian smoothing, which has been a significant impediment to the use of smoothing for practical curve description. The curve segmentation method is based on a measure of smoothness minimizing the third derivative of Gaussian convolution. The smoothness measure is used to identify discontinuities of curve tangents simultaneously with selecting the appropriate scale of smoothing. The averaging of point locations during smoothing provides for accurate subpixel curve localization. This curve-description method can be implemented efficiently and should prove practical for a wide range of applications including correspondence matching, perceptual grouping, and model-based recognition.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00126428
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Probabilistic Models of Appearance for 3-D Object Recognition (2000)
    Springer
    International journal of computer vision 40 (2000), S. 149-167 
    Details
    ISSN: 1573-1405
    Keywords: object recognition ; appearance representation ; model-based vision ; visual learning ; clustering ; model indexing
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses probability distributions to describe the range of possible variation in the object's appearance. These distributions are organized on two levels. Large variations are handled by partitioning training images into clusters corresponding to distinctly different views of the object. Within each cluster, smaller variations are represented by distributions characterizing uncertainty in the presence, position, and measurements of various discrete features of appearance. Many types of features are used, ranging in abstraction from edge segments to perceptual groupings and regions. A matching procedure uses the feature uncertainty information to guide the search for a match between model and image. Hypothesized feature pairings are used to estimate a viewpoint transformation taking account of feature uncertainty. These methods have been implemented in an object recognition system, OLIVER. Experiments show that OLIVER is capable of learning to recognize complex objects in cluttered images, while acquiring models that represent those objects using relatively few views.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1026502202780
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  • 3
    Electronic Resource
    Electronic Resource
    Receptor-specific ligands distinguish natriuretic peptide receptors-A and -C in primate tissues (1998)
    Springer
    Molecular and cellular biochemistry 178 (1998), S. 317-324 
    Details
    ISSN: 1573-4919
    Keywords: atrial natriuretic peptide ; natriuretic peptide receptor ; membrane guanylyl cyclase ; neutral endopeptidase
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract Systemic clearance of atrial natriuretic peptide (ANP) is in part due to neutral endopeptidase (NEP) proteolysis and natriuretic peptide receptor-C (NPR-C) mediated endocytosis. Biological responses to ANP are primarily mediated by the membrane guanylyl cyclase-A/natriuretic peptide receptor-A (NPR-A). Analogs of ANP selective for NPR-A and/or resistant to NEP may have increased activity in those tissues where NPR-C and NEP are coexpressed with NPR-A. The analog of ANP termed vANP; [(R3D, G9T, R11S, M12L, G16R)ANP] is selective for human NPR-A with at least 10,000 fold reduction in affinity for human NPR-C. We report that rat NPR-A is insensitive to 10 nM vANP, demonstrating the limitations of this species in evaluating human therapeutic candidates. As an alternative approach we tested the binding and potency of receptor-selective and NEP-resistant ANP analogs in rhesus monkey tissues. Competition binding studies with a simplified version of vANP, sANP [(G9T, R11S, G16R)rANP], in rhesus monkey kidney and lung membrane preparations shows displacement of 125I-ANP from only a fraction of the total ANP receptor population, 30 and 85%, respectively. The remaining ANP binding sites can be occupied with the NPR-C selective ligand cANP(4-23). These data strongly suggest that only two classes of ANP receptor are present in these membrane preparations, NPR-A and NPR-C. The NEP resistant sANP derivative called sANP(TAPR) was 8 fold more potent (ED50 = 0.6 nM) than rANP (ED50 = SnM) in stimulating cGMP production in the lung membrane preparation. Our results demonstrate that the rhesus monkey natriuretic peptide receptors reflect the pharmacology of the human receptors, and that this species may be suitable to determine the role of NPR-C and NEP in peptide clearance and attenuating functional responses.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1006823732336
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  • 4
    Electronic Resource
    Electronic Resource
    Robust model-based motion tracking through the integration of search and estimation (1992)
    Springer
    International journal of computer vision 8 (1992), S. 113-122 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A computer vision system has been developed for real-time motion tracking of 3-D objects, including those with variable internal parameters. This system provides for the integrated treatment of matching and measurement errors that arise during motion tracking. These two sources of error have very different distributions and are best handled by separate computational mechanisms. These errors can be treated in an integrated way by using the computation of variance in predicted feature measurements to determine the probability of correctness for each potential matching feature. In return, a best-first search procedure uses these probabilities to find consistent sets of matches, which eliminates the need to treat outliers during the analysis of measurement errors. The most reliable initial matches are used to reduce the parameter variance on further iterations, minimizing the amount of search required for matching more ambiguous features. These methods allow for much larger frame-to-frame motions than most previous approaches. The resulting system can robustly track models with many degrees of freedom while running on relatively inexpensive hardware. These same techniques can be used to speed verification during model-based recognition.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00127170
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  • 5
    Electronic Resource
    Electronic Resource
    The viewpoint consistency constraint (1987)
    Springer
    International journal of computer vision 1 (1987), S. 57-72 
    Details
    ISSN: 1573-1405
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The viewpoint consistency constraint requires that the locations of all object features in an image must be consistent with projection from a single viewpoint. The application of this constraint is central to the problem of achieving robust recognition, since it allows the spatial information in an image to be compared with prior knowledge of an object's shape to the full degree of available image resolution. In addition, the constraint greatly reduces the size of the search space during model-based matching by allowing a few initial matches to provide tight constraints for the locations of other model features. Unfortunately, while simple to state, this constraint has seldom been effectively applied in model-based computer vision systems. This paper reviews the history of attempts to make use of the viewpoint consistency constraint and then describes a number of new techniques for applying it to the process of model-based recognition. A method is presented for probabilistically evaluating new potential matches to extend and refine an initial viewpoint estimate. This evaluation allows the model-based verification process to proceed without the expense of backtracking or search. It will be shown that the effective application of the viewpoint consistency constraint, in conjunction with bottom-up image description based upon principles of perceptual organization, can lead to robust three-dimensional object recognition from single gray-scale images.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00128526
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  • 6
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    Molecular cloning of a retina-specific membrane guanylyl cyclase (1992)
    Cell Press
    Details
    Publication Date: 1992-10-01
    Print ISSN: 0896-6273
    Electronic ISSN: 1097-4199
    Topics: Biology , Medicine
    Published by Cell Press
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  • 7
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    Structure of the human and murine R-ras genes, novel genes closely related to ras proto-oncogenes (1987)
    Cell Press
    Details
    Publication Date: 1987-01-01
    Print ISSN: 0092-8674
    Electronic ISSN: 1097-4172
    Topics: Biology , Medicine
    Published by Cell Press
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