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        <title>SEARISE</title>
        <description></description>
        <link>http://www.searise.eu/web/</link>
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       <dc:date>2012-02-07T06:50:05+01:00</dc:date>
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        <title>SEARISE</title>
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    <item rdf:about="http://www.searise.eu/web/doku.php?id=publications&amp;rev=1300106940&amp;do=diff">
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        <dc:date>2011-03-14T13:49:00+01:00</dc:date>
        <dc:creator>daniel oberhoff</dc:creator>
        <title>publications</title>
        <link>http://www.searise.eu/web/doku.php?id=publications&amp;rev=1300106940&amp;do=diff</link>
        <description>*  D. Oberhoff. Hierarchical Bayesian Image Models. In “Object Recognition”, INTECH, accepted for publication in 2011. 
	*  M. Hoeffken, D. Oberhoff and M. Kolesnik. Temporal Prediction and Spatial Regularization in Differential Optical Flow. Submitted to ACIVS 2011.
	*  D. Oberhoff, D. Endres, M. Kolesnik and M. Giese. Gates for Handling Occlusion in Hierarchical Bayesian Models of Images. Submitted to ICML 2011.
	*  A. Christensen, W. Ilg, H.-O. Karnath, M. A. Giese: Specific 
influences o…</description>
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        <dc:date>2011-03-10T10:03:57+01:00</dc:date>
        <dc:creator>daniel oberhoff</dc:creator>
        <title>benchmark_datasets</title>
        <link>http://www.searise.eu/web/doku.php?id=benchmark_datasets&amp;rev=1299747837&amp;do=diff</link>
        <description>Benchmark Datasets

Here we provide links to benchmark datasets created in the context of the SEARISE project which are demeed useful for the wider community to evaluate performance in tasks which were dealt with in the project. 

	*  Real-world stereo sequences with ground truth for benchmarking full
(i.e., 2D) disparity estimation in active binocular systems
	*  Psychophysical motion benchmark dataset to evaluate models of visual cortical functions</description>
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        <dc:date>2011-03-10T09:47:39+01:00</dc:date>
        <dc:creator>daniel oberhoff</dc:creator>
        <title>research</title>
        <link>http://www.searise.eu/web/doku.php?id=research&amp;rev=1299746859&amp;do=diff</link>
        <description>[overview2.png] 
	*  Camera hardware development and control
	*  Visual learning of shapes and motion patterns
	*  Low level motion and contrast detection
	*  Adaptive visual attention to salient events
	*  System integration and synchronization
	*  System integration and synchronization
	*  System integration and synchronization</description>
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    <item rdf:about="http://www.searise.eu/web/doku.php?id=adaptive_visual_attention_to_salient_events&amp;rev=1299155986&amp;do=diff">
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        <dc:date>2011-03-03T13:39:46+01:00</dc:date>
        <dc:creator>frank weilandt</dc:creator>
        <title>adaptive_visual_attention_to_salient_events</title>
        <link>http://www.searise.eu/web/doku.php?id=adaptive_visual_attention_to_salient_events&amp;rev=1299155986&amp;do=diff</link>
        <description>Adaptive visual attention to salient events

 A model component for the computation of dynamic salience maps and recognition of salient events will be developed in this WP. This component is at the highest cognitive level in the hierarchical architecture of the overall visual model. The output from this component will direct saccadic moves of the binocular cameras in order to switch the attention of the Smart-Eyes system to salient events with the highest priority.  At the same time this compone…</description>
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