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    CVPR
    1999
    IEEE
    147views Computer Vision» more  CVPR 1999»
    A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
    14 years 6 months ago
    A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
    Download  cs.haifa.ac.il
    We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
    Michael Werman, Daniel Keren
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    CVPR
    1999
    IEEE
    263views Computer Vision» more  CVPR 1999»
    Generic Object Detection using Model Based Segmentation
    14 years 6 months ago
    Generic Object Detection using Model Based Segmentation
    Download  vision.ece.uic.edu
    This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
    Zhiqian Wang, Jezekiel Ben-Arie
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    CVPR
    1999
    IEEE
    151views Computer Vision» more  CVPR 1999»
    Robust Visual Servoing based on Relative Orientation
    14 years 6 months ago
    Robust Visual Servoing based on Relative Orientation
    Download  www.cis.upenn.edu
    In this paper the problem of controlling the spatial position and orientation of a robotic platform based on the image data obtained from a video camera mounted on that platform i...
    Camillo J. Taylor, James P. Ostrowski, Sang-Hack J...
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    CVPR
    1999
    IEEE
    188views Computer Vision» more  CVPR 1999»
    A Multi-View Approach to Motion and Stereo
    14 years 6 months ago
    A Multi-View Approach to Motion and Stereo
    Download  research.microsoft.com
    This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, w...
    Richard Szeliski
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    CVPR
    1999
    IEEE
    288views Computer Vision» more  CVPR 1999»
    On Plane-Based Camera Calibration: A General Algorithm, Singularities, Applications
    14 years 6 months ago
    On Plane-Based Camera Calibration: A General Algorithm, Singularities, Applications
    Download  www.vision.caltech.edu
    We present a general algorithm for plane-based calibration that can deal with arbitrary numbers of views and calibration planes. The algorithm can simultaneously calibrate differe...
    Peter F. Sturm, Stephen J. Maybank
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    CVPR
    1999
    IEEE
    328views Computer Vision» more  CVPR 1999»
    Non-Metric Calibration of Wide-Angle Lenses and Polycameras
    14 years 6 months ago
    Non-Metric Calibration of Wide-Angle Lenses and Polycameras
    Download  www1.cs.columbia.edu
    Images taken with wide-angle cameras tend to have severe distortions which pull points towards the optical center: This paper proposes a method for recovering the disrortion param...
    Rahul Swaminathan, Shree K. Nayar
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    CVPR
    1999
    IEEE
    121views Computer Vision» more  CVPR 1999»
    Estimating Model Parameters and Boundaries By Minimizing a Joint, Robust Objective Function
    14 years 6 months ago
    Estimating Model Parameters and Boundaries By Minimizing a Joint, Robust Objective Function
    Download  www.cs.rpi.edu
    Charles V. Stewart, Kishore Bubna, A. G. Amitha Pe...
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    CVPR
    1999
    IEEE
    1071views Computer Vision» more  CVPR 1999»
    Adaptive Background Mixture Models for Real-Time Tracking
    14 years 6 months ago
    Adaptive Background Mixture Models for Real-Time Tracking
    Download  www.ai.mit.edu
    A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
    Chris Stauffer, W. Eric L. Grimson
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    CVPR
    1999
    IEEE
    229views Computer Vision» more  CVPR 1999»
    Efficient Techniques for Wide-Angle Stereo Vision Using Surface Projection Models
    14 years 6 months ago
    Efficient Techniques for Wide-Angle Stereo Vision Using Surface Projection Models
    Download  imaging.utk.edu
    Philip W. Smith, Keith B. Johnson, Mongi A. Abidi
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    CVPR
    1999
    IEEE
    165views Computer Vision» more  CVPR 1999»
    Implicit Representation and Scene Reconstruction from Probability Density Functions
    14 years 6 months ago
    Implicit Representation and Scene Reconstruction from Probability Density Functions
    Download  www.cs.cmu.edu
    A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
    Steven M. Seitz, P. Anandan
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