The aim of the present thesis is to model object recognition and spatial visual attention in a single frame. The direction of gaze can serve as a correlate for the alignment of spatial attention, but in conventional laboratory experiments, the subject is confined and the concentration is on eye-in-head movements. We solve this problem by using a mobile head-mounted eye-tracking system EyeSeeCam. In the first part, the camera is analyzed in more detail because of an error of parallax and an endurance test is performed. At the end of my thesis, there is still room for improvement in the functionality. In the second part, we try the increase the understanding of the action of selective visual attention. We quantify how complex cells, as they are known from the primary visual cortex, adapt to the statistics of natural stimuli. A distance-dependent decorrelation factor is integrated into an existing programme to check if orientation columns develop. For new results, further simulations and evaluations are necessary.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of the present thesis is to model object recognition and spatial visual attention in a single frame. The direction of gaze can serve as a correlate for the alignment of spatial attention, but in conventional laboratory experiments, the subject is confined and the concentration is on eye-in-head movements. We solve this problem by using a mobile head-mounted eye-tracking system EyeSeeCam. In the first part, the camera is analyzed in more detail because of an error of parallax and an endurance test is performed. At the end of my thesis, there is still room for improvement in the functionality. In the second part, we try the increase the understanding of the action of selective visual attention. We quantify how complex cells, as they are known from the primary visual cortex, adapt to the statistics of natural stimuli. A distance-dependent decorrelation factor is integrated into an existing programme to check if orientation columns develop. For new results, further simulations and evaluations are necessary. 80 pp. Englisch. N° de réf. du vendeur 9783639385816
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pennig Christianstudied physics at the Universities of Heidelberg and Marburg and received his diploma in 2010. After an internship in consulting, he now works for ITK Engineering AG and its client Continental AG in the automotive se. N° de réf. du vendeur 4982828
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of the present thesis is to model object recognition and spatial visual attention in a single frame. The direction of gaze can serve as a correlate for the alignment of spatial attention, but in conventional laboratory experiments, the subject is confined and the concentration is on eye-in-head movements. We solve this problem by using a mobile head-mounted eye-tracking system EyeSeeCam. In the first part, the camera is analyzed in more detail because of an error of parallax and an endurance test is performed. At the end of my thesis, there is still room for improvement in the functionality. In the second part, we try the increase the understanding of the action of selective visual attention. We quantify how complex cells, as they are known from the primary visual cortex, adapt to the statistics of natural stimuli. A distance-dependent decorrelation factor is integrated into an existing programme to check if orientation columns develop. For new results, further simulations and evaluations are necessary.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9783639385816
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of the present thesis is to model object recognition and spatial visual attention in a single frame. The direction of gaze can serve as a correlate for the alignment of spatial attention, but in conventional laboratory experiments, the subject is confined and the concentration is on eye-in-head movements. We solve this problem by using a mobile head-mounted eye-tracking system EyeSeeCam. In the first part, the camera is analyzed in more detail because of an error of parallax and an endurance test is performed. At the end of my thesis, there is still room for improvement in the functionality. In the second part, we try the increase the understanding of the action of selective visual attention. We quantify how complex cells, as they are known from the primary visual cortex, adapt to the statistics of natural stimuli. A distance-dependent decorrelation factor is integrated into an existing programme to check if orientation columns develop. For new results, further simulations and evaluations are necessary. N° de réf. du vendeur 9783639385816
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Combining Attention and Temporal Coherence Models | Learning Invariances from Cluttered Scenes | Christian Pennig | Taschenbuch | 80 S. | Englisch | 2014 | AV Akademikerverlag | EAN 9783639385816 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106697900
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