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Titlebook: Natural Object Recognition; Thomas M. Strat Book 1992 Springer Science+Business Media New York 1992 algorithms.cognition.computer vision.i

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Thomas M. Stratchen und internen Prozessen bzw. Rauschen, internen Prozessen und externer Stimulation. Da diese Zustände somit . allein von der äußeren Stimulation bestimmt werden, die Interaktion zwischen Stimulus und nichtlinearen Systemprozessen also eine dominierende Rolle spielt, fallt es schwer, über das Zut
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rfolgsrate lag bei ungefähr 70% für die Mund- und die Augenpartie und etwas niedriger für den gesamten Ausdruck. Diese Ergebnisse zeigen, daß der synergetische Computer die Grundlagen zur Entwicklung einer automatisierten Kodierung von Gesichtsausdrücken anbietet. Folgerungen für die psychologische
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Introduction,d surfaces are an adequate intermediate representation, but for the natural world, such shape descriptions are insufficient and perhaps inappropriate. By designing a vision system for interpreting ground-level scenes of the outdoor world, we hope to provide a new basis for a theory of computational
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Book 1992large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.
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Book 1992ialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use
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Conclusion,vision systems that holds promise for achieving human-level competence, and report the experimental results of a system implementing that theory which demonstrates near-human recognition abilities in a natural domain of limited geographic extent.
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1431-858X . The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.978-1-4612-7725-5978-1-4612-2932-2Series ISSN 1431-858X
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