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

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https://doi.org/10.1007/978-1-4899-0254-2pending on the shape. For a two-corner grey-level surface, the evolution of the determinant of hessian (DET) shows a merging point for a certain σ. independently of contrast, and the evolution of Gaussian Curvature presents the same characteristic but this point evolves with contrast.
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0302-9743 . This two-volume proceedings collects the 115 papers accepted for presentation at the 3rd ECCV, held in Stockholm in May 1994. The papers were selected from over 300 submissions and together give a well balanced reflection of the state of the art in computer vision. The papers in Volume I are group
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https://doi.org/10.1057/9780230274969nt advancement. Our techniques can be applied to model arbitrarily complex shapes, which include shapes with significant protrusions, and to situations where no . assumption about the object‘s topology can be made. We demonstrate the scheme via examples of shape recovery in 2D and 3D from synthetic and low contrast medical image data.
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https://doi.org/10.1007/3-540-31104-1ded by a calibrated camera fixed on the arm of a robot. By moving the arm of the robot along a precisely defined trajectory we can determine the true displacement rate of scene surface elements projected into the image plane and compare it quantitatively with the results of different optical flow estimators.
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https://doi.org/10.1007/978-3-0348-7953-8sities. Secondly, Extended Kalman Filtering is used as a further refinement process which achieves not only higher accuracy but also better performance than the SHT. The algorithms are compared with the SHT theoretically and experimentally.
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Rehabilitation Protocols: Are They Useful? to obtain information on the absolute velocity, angular velocity and radius of curvature of the moving vehicle. These results suggest that the optical flow can be successfully used by a vision system for assisting a driver in a vehicle moving in usual outdoor streets and motorways.
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Andrea Celli,Susanna Stignani Kantarollision prediction method is also given. The method predicts the projection of a corridor down which the AGV will travel. This prediction may be used for time to contact collision prediction and the corridor width embodies an estimate of the vehicles size.
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