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Träfflista för sökning "WFRF:(Westin Carl) "

Sökning: WFRF:(Westin Carl)

  • Resultat 1-10 av 134
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1.
  • Granlund, Gösta H., et al. (författare)
  • Biological Vision
  • 1995
  • Ingår i: Signal Processing for Computer Vision. - Dordrecht : Kluwer. - 0792395301 - 9780792395300 ; , s. 41-95
  • Bokkapitel (refereegranskat)abstract
    • This chapter givesan overview of important biological vision mechanisms. Although agreat deal is known about neural processing of visual information,most essential questions about biological vision remain as yetunanswered. Nonetheless, the knowledge available has already provideduseful guidance to the organization of effective machine visionsystems.
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2.
  • Karlholm, Jörgen, et al. (författare)
  • Object Tracking Based on the Orientation Tensor Concept
  • 1994
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line normal flow is estimated by computing the eigenvector associated with the largest eigenvalue of 3D (two spatial dimensions plus time) tensors with a planar structure. Object's true 2D velocity is computed by averaging tensors with consistent normal flows, generating a 3D line representation that corresponds to a 2D point in motion. Flow induced by camera rotation is compensated for by ignoring points with velocity consistent with the ego-rotation. A region-of-interest growing process based on motion consistency generates estimates of object size and position.
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3.
  • Karlholm, Jörgen, et al. (författare)
  • Object Tracking Based on the Orientation Tensor Concept
  • 1995
  • Ingår i: Theory and Applications of Image Analysis II. - Singapore : World Scientific Publishing. - 9810224486 ; , s. 267-278
  • Bokkapitel (populärvet., debatt m.m.)abstract
    • We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line normal flow is estimated by computing the eigenvector associated with the largest eigenvalue of 3D (two spatial dimensions plus time) tensors with a planar structure. Object's true 2D velocity is computed by averaging tensors with consistent normal flows, generating a 3D line represention that corresponds to a 2D point in motion. Flow induced by camera rotation is compensated for by ignoring points with velocity consistent with the ego-rotation. A region-of-interest growing process based on motion consistency generates estimates of object size and position.  Introduction The literature on optical flow estimation is wast. Descriptions and performance studies of a number of different techniques are given in  and the monographs by Fleet  and Jahne. We will only briefly describe the particular methods used in the present study. Details on the tensor field represention a...
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5.
  • Westelius, Carl-Johan, et al. (författare)
  • A Colour Representation for Scale-spaces
  • 1989
  • Ingår i: The 6th Scandinavian Conference on Image Analysis. ; , s. 890-893
  • Konferensbidrag (refereegranskat)
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7.
  • Westelius, Carl-Johan, et al. (författare)
  • Phase-based Disparity Estimation
  • 1995
  • Ingår i: Vision as Process. - Berlin : Springer-Verlag. - 354058143X - 038758143X ; , s. 157-178
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • The problem of estimating depth information from two or more images of a scene is one which has received considerable attention over the years and a wide variety of methods have been proposed to solve it [Barnard and Fichsler, 1982; Fleck, 1991]. Methods based on correlation and methods using some form of feature matching between the images have found most widespread use. Of these, the latter have attracted increasing attention since the work of Marr [Marr, 1982], in which the features are zero-crossings on varying scales. These methods share an underlying basis of spatial domain operations.In recent years, however, increasing interest has been shown in computational models of vision based primarily on a localized frequency domain representation - the Gabor representation [Gabor, 1946; Adelson and Bergen, 1985], first suggested in the context of computer vision by Granlund [Granlund, 1978].
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8.
  • Westelius, Carl-Johan, et al. (författare)
  • Prototyping, Visualization and Simulation Using the Application Visualization System
  • 1994
  • Ingår i: Experimental Environments for Computer Vision and Image Processing. - Singapore : World Scientific Publishing Co. Pte. Ltd.. - 981021510X ; , s. 33-62
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • The Application Visualization System software from Advanced Visual Systems Inc is an interactive visualization environment for scientists, engineers and technical professionals. This report contains a short overview of the AVS software packages and a discussion about its general performance. The software package has actively been used at the Computer Vision Laboratory, Linköping University, during the last three years. The AVS package has been used in many applications. Examples are generating images from a virtual environment, simulation of a controllable robot with a stereo camera head and visualization of multidimensional data structures. Lately we also have used AVS for handling communication between different processes which may be distributed on different machines. AVS was primarily developed as a tool for visualization of complex data sets. However, another important aspect of the software is that it can be used as an advanced workbench for controlling networks of Unix processes (including external ones on different machine types) using simple visual programming.
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10.
  • Westin, Carl-Fredrik, et al. (författare)
  • Attention Control for Robot Vision
  • 1996
  • Ingår i: CVPR. - : IEEE Computer Society Press. ; , s. 726-733
  • Konferensbidrag (refereegranskat)
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