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Showing 61-80 of 103 results

  1. METAMERSET BASED MEASURES OF GOODNESS FOR COLOUR CAMERAS

    Using the metamer sets model (Finlayson and Morovic, 1999; Morovic, 2002), this paper presents a measure to evaluate the likelihood that a given...
    Ali Alsam, Jon Y. Hardeberg in Computer Vision and Graphics
    Chapter 2006

  2. A computational strategy exploiting genetic algorithms to recover color surface reflectance functions

    Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately...

    Raimondo Schettini, Silvia Zuffi in Neural Computing and Applications
    Article 29 March 2006

  3. Application of Spectral Information to Investigate Historical Materials – Detection of Metameric Color Area in Icon Images -

    The spectral reflectance of Icons is estimated from RGB digital images taken by a digital camera, and it is applied to detect metameric color areas...
    Kimiyoshi Miyata, Hannu Laamanen, ... Jussi Parkkinen in Image Analysis
    Conference paper 2005

  4. A Robust Footprint Detection Using Color Images and Neural Networks

    The automatic detection of different foot’s diseases requires the analysis of a footprint, obtained from a digital image of the sole. This paper...
    Marco Mora, Daniel Sbarbaro in Progress in Pattern Recognition, Image Analysis and Applications
    Conference paper 2005

  5. Image Features and the 1-D, 2 nd Order Gaussian Derivative Jet

    We review a previously presented proposal – Geometric Texton Theory (GTT) – that feature categories naturally arise through consideration of the...
    Lewis D Griffin, Martin Lillholm in Scale Space and PDE Methods in Computer Vision
    Conference paper 2005

  6. Illuminant-Dependence of Von Kries Type Quotients

    A von Kries quotient is defined as the cone signal of a reflectance under some illuminant divided by the same cone signal of the illuminant. A von...

    C. van Trigt in International Journal of Computer Vision
    Article 01 January 2005

  7. An affordable multispectral imaging system for the digital museum

    The use of multispectral imaging for the acquisition of the image content of a digital museum is proposed. The advantages of multispectral imaging...

    Gianluca Novati, Paolo Pellegri, Raimondo Schettini in International Journal on Digital Libraries
    Article 01 May 2005

  8. A Neural Network-Based Algorithm for 3D Multispectral Scanning Applied to Multimedia

    We describe a new stereoscopic system based on a multispectral camera and an LCD-Projector. The novel concept we want to show consists in the use of...
    Alamin Mansouri, Alexandra Lathuiliere, ... Pierre Gouton in Image Analysis and Recognition
    Conference paper 2005

  9. Blurred Correlation Versus Correlation Blur

    We discuss the topic of correlation in a scale space setting. Correlation involves two distinct scales. The “outer scale” is the scale of the region...
    Jan J. Koenderink, Andrea van Doorn in Deep Structure, Singularities, and Computer Vision
    Conference paper 2005

  10. Support Blob Machines

    A novel generalization of linear scale space is presented. The generalization allows for a sparse approximation of the function at a certain scale....
    Marco Loog in Computer Vision - ECCV 2004
    Conference paper 2004

  11. Feature-Based Image Analysis

    According to Marr's paradigm of computational vision the first process is an extraction of relevant features. The goal of this paper is to quantify...

    Martin Lillholm, Mads Nielsen, Lewis D. Griffin in International Journal of Computer Vision
    Article 01 May 2003

  12. Visual Perception and Linear System Theory

    One of the goals of this book is to illustrate how many important characteristics of both the human visual system and technical systems for the...
    Jean-Bernard Martens in Image Technology Design
    Chapter 2003

  13. Linear System Theory and Vector Spaces

    In this chapter, we describe a mathematical theory that is suited for describing both signals (such as images) and the operations on signals. We only...
    Jean-Bernard Martens in Image Technology Design
    Chapter 2003

  14. Toward a Full Probability Model of Edges in Natural Images

    We investigate the statistics of local geometric structures in natural images. Previous studies [13,14] of high-contrast 3×3 natural image patches...
    Kim S. Pedersen, Ann B. Lee in Computer Vision — ECCV 2002
    Conference paper 2002

  15. Applications of Soft CBR at General Electric

    General Electric has used soft computing techniques in a variety of fielded case based reasoning systems. In doing so we were able to leverage the...
    Bill Cheetham, Paul Cuddihy, Kai Goebel in Soft Computing in Case Based Reasoning
    Chapter 2001

  16. Features in Scale Space: Progress on the 2D 2nd Order Jet

    We present theoretical and computational results that develop Koenderink’s theory of feature analysis in human vision [1,7]. Employing a scale space...
    Elena Tagliati, Lewis D. Griffin in Scale-Space and Morphology in Computer Vision
    Conference paper 2001

  17. A Dynamic Scale–Space Paradigm

    We present a novel mathematical, physical and logical framework for describing an input image of the dynamics of physical fields, in particular the...

    Alfons H. Salden, Bart M. Ter Haar Romeny, Max A. Viergever in Journal of Mathematical Imaging and Vision
    Article 01 November 2001

  18. What Do Features Tell about Images?

    According to the Marr paradigm [10], visual processing is performed by low-level feature detection followed by higher level task dependent...
    Mads Nielsen, Martin Lillholm in Scale-Space and Morphology in Computer Vision
    Conference paper 2001

  19. The Joy of Sampling

    A standard method for handling Bayesian models is to use Markov chain Monte Carlo methods to draw samples from the posterior. We demonstrate this...

    D.A. Forsyth, J. Haddon, S. Ioffe in International Journal of Computer Vision
    Article 01 January 2001

  20. The Structure of Colorimetry

    We consider the structure of colorimetry, essentially of Graßmann’s threedimensional linear space that summarized metamery (confusion of spectral...
    Jan J. Koenderink, Andrea J. van Doorn in Algebraic Frames for the Perception-Action Cycle
    Conference paper 2000
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