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Titlebook: Computer Vision - ECCV ‘94; Third European Confe Jan-Olof Eklundh Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 3D.Com

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https://doi.org/10.1007/978-3-030-77263-5omputation. The two-view rigid motion parameters (the scale factor between views, projection of the 3D axis of rotation and cyclotorsion angle) are then determined . from the epipolar geometry. Optimal estimates are obtained over time by means of a linear Kalman filter, and results are presented on
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Extracting the affine transformation from texture moments,
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Integration and control of reactive visual processes, between visual processes is mediated by signals from a supervisory controller as well as signals obtained from perception. This method offers the possibility of constructing vision systems with large numbers of visual abilities in a manner which is both scalable and learnable.
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Motion from point matches using affine epipolar geometry,omputation. The two-view rigid motion parameters (the scale factor between views, projection of the 3D axis of rotation and cyclotorsion angle) are then determined . from the epipolar geometry. Optimal estimates are obtained over time by means of a linear Kalman filter, and results are presented on
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A paraperspective factorization method for shape and motion recovery,s image sequences containing significant translational motion toward the camera or across the image. We present the results of several experiments which illustrate the method‘s performance in a wide range of situations, including an aerial image sequence of terrain taken from a low-altitude airplane
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Active object recognition integrating attention and viewpoint control,age, with a viewpoint control strategy for disambiguating recovered object features. The attention mechanism consists of a probabilistic search through a hierarchy of predicted feature observations, taking objects into a set of regions classified according to the shapes of their bounding contours. I
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