Titlebook: Computer Vision — ECCV ’92; Second European Conf G. Sandini Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 3D.Bewegungs

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https://doi.org/10.1007/978-3-642-66496-0ector valued images, e.g. 3-color images or texture features. Significant groups of outlier values are also identified, enabling the edge finder to detect cracks separating regions as well as certain changes in texture phase.

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Steerable-scalable kernels for edge detection and junction analysis,t al. it is guaranteed to generate the most parsimonious one. Additionally, it is shown how to exploit two symmetries in edge-detection kernels for reducing storage and computational costs and generating simultaneously endstop- and junction-tuned filters for free.

ROOF

Allodynia

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,Texture: Plus ça change, ...,ector valued images, e.g. 3-color images or texture features. Significant groups of outlier values are also identified, enabling the edge finder to detect cracks separating regions as well as certain changes in texture phase.

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0302-9743 e,Italy, May 19-22, 1992. Sixteenlong papers, 41 short papers and 48 posters were selectedfrom 308 submissions.The contributions are structuredinto 14 sections reflectingthe major research topics in computer visioncurrentlyinvestigated worldwide. The sections are entitled:features,color, calibration

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TOXIN

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https://doi.org/10.1007/978-3-030-79964-9tion of edges, lines and combinations thereof. We derive an ” edge quality” measure which allows to test the validity of a general edge model. A detection scheme for keypoints is proposed based on an analysis of oriented energy channels using differential geometry.