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Träfflista för sökning "AMNE:(NATURAL SCIENCES) AMNE:(Computer and Information Sciences) AMNE:(Human Computer Interaction) srt2:(1995-1999)"

Sökning: AMNE:(NATURAL SCIENCES) AMNE:(Computer and Information Sciences) AMNE:(Human Computer Interaction) > (1995-1999)

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  • Kavathatzopoulos, Iordanis, 1956- (författare)
  • Assessing and training ethical competence as a psychological ability in business organisations
  • 1999
  • Ingår i: Building moral competence. - Sandvika, Norway : Norwegian School of Management.
  • Konferensbidrag (refereegranskat)abstract
    • Decision makers in organisations, need a capacity to cope with moral conflicts which arise in their ordinary activities, that is, they need high ethical competence. This competence means (a) high ethical awareness, the ability to anticipate ethical problems in real life and to perceive them in time, (b) the skill to analyse and solve them in an optimal way, (c) the capability to discuss and handle moral problems at group and organisation level, and together with significant others formulate ethical guidelines, (d) the power to argue convincingly for preferred actions or decisions made, and (e) the strength to implement controversial decisions.
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  • Åkerman, S., et al. (författare)
  • Surface Model Generation and Segmentation of the Human Celebral Cortex for the Construction of Unfolded Cortical Maps
  • 1996
  • Ingår i: Proc. 2nd International Conference on Functional Mapping of the Human Brain. ; , s. S126-S126
  • Konferensbidrag (refereegranskat)abstract
    • Representing the shape of the human cerebral cortex arises as a basic subproblem in several areas of brain science, such as when describing the anatomy of the cortex and when relating functional measurements to cortical regions. Most current methods for building such representions of the cortical surface are either based on contours from two-dimensional cross sections or landmarks that have been obtained manually.In this article, we outline a methodology for semi-automatic contruction of a solely surface based representation of the human cerebral cortex in vivo for subsequent generation of  (unfolded) two-dimensional brain maps.The method is based on input data in the form of three-dimensional NMR images, and comprises the following main steps:suppression of disturbing fine-scale structures by linear and non-linear scale-space techniques,generation of a triangulated surface representation based on either iso-surfaces or three-dimensional edge detection,division of the surface model into smaller segments based on differential invariants computed from the image data.When constructing an unfolded (flattened) surface representation, the instrinsic curvature of the cortex means that such a unfolding cannot be done without introducing distortions. To reduce this problem, we propose to cut the surface into smaller parts, where a ridge detector acts as guideline, and then unfold each patch individually, so as to obtain low distortions.Having a solely surface based representation of the cortex and expressing the image operations using multi-scale differential invariants in terms of scale-space derivatives as done in this work is a natural choice both in terms of conceptual and algorithmic simplicity. Moreover, explicitly handling the multi-scale nature of the data is necessary to obtain robust results.
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  • Bretzner, Lars, et al. (författare)
  • Use your hand as a 3-D mouse or relative orientation from extended sequences of sparse point and line correspondances using the affine trifocal tensor
  • 1998
  • Ingår i: Computer Vision — ECCV'98. - : Springer Berlin/Heidelberg. ; , s. 141-157
  • Konferensbidrag (refereegranskat)abstract
    • This paper addresses the problem of computing three-dimensional structure and motion from an unknown rigid configuration of point and lines viewed by an affine projection model. An algebraic structure, analogous to the trilinear tensor for three perspective cameras, is defined for configurations of three centered affine cameras. This centered affine trifocal tensor contains 12 coefficients and involves linear relations between point correspondences and trilinear relations between line correspondences It is shown how the affine trifocal tensor relates to the perspective trilinear tensor, and how three-dimensional motion can be computed from this tensor in a straightforward manner. A factorization approach is also developed to handle point features and line features simultaneously in image sequences.This theory is applied to a specific problem of human-computer interaction of capturing three-dimensional rotations from gestures of a human hand. A qualitative model is presented, in which three fingers are represented by their position and orientation, and it is shown how three point correspondences (blobs at the finger tips) and three line correspondences (ridge features at the fingers) allow the affine trifocal tensor to be determined, from which the rotation is computed. Besides the obvious application, this test problem illustrates the usefulness of the affine trifocal tensor in a situation where sufficient information is not available to compute the perspective trilinear tensor, while the geometry requires point correspondences as well as line correspondences over at least three views.
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  • Bretzner, Lars, et al. (författare)
  • Structure and Motion Estimation using Sparse Point and Line Correspondences in Multiple Affine Views
  • 1999
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This paper addresses the problem of computing three-dimen\-sional structure and motion from an unknown rigid configuration of points and lines viewed by an affine projection model. An algebraic structure, analogous to the trilinear tensor for three perspective cameras, is defined for configurations of three centered affine cameras. This centered affine trifocal tensor contains 12 non-zero coefficients and involves linear relations between point correspondences and trilinear relations between line correspondences. It is shown how the affine trifocal tensor relates to the perspective trilinear tensor, and how three-dimensional motion can be computed from this tensor in a straightforward manner. A factorization approach is developed to handle point features and line features simultaneously in image sequences, and degenerate feature configurations are analysed. This theory is applied to a specific problem in human-computer interaction of capturing three-dimensional rotations from gestures of a human hand. This application to quantitative gesture analyses illustrates the usefulness of the affine trifocal tensor in a situation where sufficient information is not available to compute the perspective trilinear tensor, while the geometry requires point correspondences as well as line correspondences over at least three views.
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