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    <title language="eng">Viewpoint Selection - A Classifier Independent Learning Approach</title>
    <parentTitle language="eng">IEEE Southwest Symposium on Image Analysis and Interpretation, Austin, Texas, USA</parentTitle>
    <identifier type="isbn">0-7695-0595-3</identifier>
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    <author>Frank Deinzer</author>
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    <title language="eng">Classifier Independent Viewpoint Selection for 3-D Object Recognition</title>
    <parentTitle language="eng">Mustererkennung 2000, 22. DAGM-Symposium, Kiel</parentTitle>
    <identifier type="isbn">3-540-67886-7</identifier>
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    <author>Frank Deinzer</author>
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    <id>4400</id>
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    <publishedYear>2001</publishedYear>
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    <title language="eng">On Fusion of Multiple Views for Active Object Recognition</title>
    <parentTitle language="eng">Pattern Recognition – Proceedings of the 23rd DAGM Symposium</parentTitle>
    <identifier type="url">https://citeseerx.ist.psu.edu/document?repid=rep1&amp;type=pdf&amp;doi=5170210ad2af6eef654e4313395dccab8b094bf7</identifier>
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    <author>Frank Deinzer</author>
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    <id>4403</id>
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    <publishedYear>2003</publishedYear>
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    <title language="eng">How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments</title>
    <abstract language="eng">In the past decades most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition. In this context there are several unique problems to be solved. One of them is how to fuse a series of images that might differ in their viewpoints. In this paper we present a well-founded approach for the fusion of multiple views based on a recursive density propagation method. It uses particle filters for solving the fusion in a continuous pose space. Furthermore we will show by means of a statistical object recognition system how to integrate such systems into our fusion approach. The experimental result will show, how the fusion can improve classification rates substantial, es-pecially for difficult conditions like heterogeneous background within real world environments.</abstract>
    <parentTitle language="eng">Proceedings of the Vision, Modeling, and Visualization Conference 2003</parentTitle>
    <identifier type="isbn">3-89838-048-3</identifier>
    <identifier type="url">https://pub.inf-cv.uni-jena.de/pdf/Grzegorzek03:HFO.pdf</identifier>
    <enrichment key="opus.import.data">@inproceedingsGrzegDein03:HFM, author = Marcin Grzegorzek and Frank Deinzer and Michael Reinhold and Joachim Denzler and Heinrich Niemann, title = How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments, pages = 553–560, booktitle = Vision, Modeling, and Visualization 2003, year = 2003, month = 11, address = München, Germany, isbn = 3-89838-048-3, publisher = Aka GmbH, Berlin, editor = T.Ertl and B.Girod and G.Greiner and Heinrich Niemann and H.-P.Seidl and E.Steinbach and R.Westermann,</enrichment>
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    <author>Marcin Grzegorzek</author>
    <author>Frank Deinzer</author>
    <author>Michael Reinhold</author>
    <author>Joachim Denzler</author>
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    <id>4404</id>
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    <publishedYear>2003</publishedYear>
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    <language>eng</language>
    <pageFirst>65</pageFirst>
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    <volume>2756</volume>
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    <title language="eng">Viewpoint Selection – Planning Optimal Sequences of Views for Object Recognition</title>
    <parentTitle language="eng">Computer Analysis of Images and Patterns – CAIP 2003</parentTitle>
    <identifier type="isbn">3-540-40730-8</identifier>
    <identifier type="url">https://pub.inf-cv.uni-jena.de/pdf/Deinzer03:VSP.pdf</identifier>
    <enrichment key="opus.import.data">@inproceedingsDeinzer03:VSP, author = Deinzer, Frank and Denzler, Joachim and Niemann, Heinrich, title = Viewpoint Selection – Planning Optimal Sequences of Views for Object Recognition, pages = 65–73, YEAR = 2003, month = 8, editor = Petkov, N. and Westenberg, M., booktitle = Computer Analysis of Images and Patterns – CAIP 2003, publisher = Springer, ISBN = 3-540-40730-8, address = Heidelberg, series = LNCS, volume = 2756,</enrichment>
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    <publishedYear>2002</publishedYear>
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    <title language="eng">Improving Object Recognition By Fusion Of Multiple Views</title>
    <parentTitle language="eng">Proceedings of the Third Indian Conference on Computer Vision Graphics and Image Processing</parentTitle>
    <identifier type="url">https://citeseerx.ist.psu.edu/document?repid=rep1&amp;type=pdf&amp;doi=fb45b6f10124e4ae3a0e9c27c8ece6632c25c519</identifier>
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    <author>Frank Deinzer</author>
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    <id>4406</id>
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    <title language="eng">Active Appearance-Based Object Recognition Using Viewpoint Selection</title>
    <abstract language="eng">In this paper we address the classification of 3–D objects that look similar from sev-eral sights and can only be distinguished from some certain viewpoints. For this purpose we combine a statistical appearance-based object recognition approach with an active viewpoint selection mechanism. For appearance-based object recognition lo-cal features are derived from wavelet multires-olution analysis. The recognition process is performed hierarchically in a statistical frame-work by a maximum likelihood estimation. Based on this result the active viewpoint se-lection mechanism chooses one further view that allows a reliable classification. Hereby the viewpoint selection mechanism can be trained unsupervised and represents the space of possible viewpoints continuously. Experimental results show that our approach is well suited for a reliable classifica-tion of similar looking objects only by one fur-ther view.</abstract>
    <parentTitle language="eng">Proceedings of the 2000 Conference on Vision Modeling and Visualization</parentTitle>
    <identifier type="url">http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2000/Reinhold00-AAO.pdf</identifier>
    <enrichment key="opus.import.data">@inproceedingsReinhold00:AAO, author = M. Reinhold and Frank Deinzer and Joachim Denzler and D. Paulus and Joseph Pösl, title = Active Appearance-Based Object Recognition Using Viewpoint Selection, booktitle = Vision Modeling and Visualization 2000, year = 2000, month = 11, address = Saarbrücken, Germany, publisher = Infix, editor = B.Girod and Heinrich Niemann and H.-P.Seidel, pages = 105-112,</enrichment>
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    <author>M. Reinhold</author>
    <author>Frank Deinzer</author>
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    <author>D. Paulus</author>
    <author>Joseph Pösl</author>
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    <id>4407</id>
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    <publishedYear>2004</publishedYear>
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    <language>eng</language>
    <pageFirst>169</pageFirst>
    <pageLast>176</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
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    <volume>2</volume>
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    <title language="eng">Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping</title>
    <parentTitle language="eng">Proceedings of the 1st International Conference on Informatics in Control, Automation and Robotics</parentTitle>
    <identifier type="isbn">972-8865-12-0</identifier>
    <identifier type="url">https://www.academia.edu/download/73872520/535b65e41b63181cc789e3b9f2bfd2d51e17.pdf</identifier>
    <enrichment key="opus.import.data">@inproceedingsDeutsch04:ASS, title = Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping, booktitle = Proceedings of the 1st International Conference on Informatics in Control, Automation and Robotics, author = Benjamin Deutsch and Frank Deinzer and Matthias Zobel and Joachim Denzler, address = Setübal, Portugal, publisher = INSTICC Press, isbn = 972-8865-12-0, year = 2004, month = 8, volume = 2, pages = 169-176,</enrichment>
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    <author>Benjamin Deutsch</author>
    <author>Frank Deinzer</author>
    <author>Matthias Zobel</author>
    <author>Joachim Denzler</author>
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    <id>4415</id>
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    <publishedYear>2006</publishedYear>
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    <language>eng</language>
    <pageFirst>902</pageFirst>
    <pageLast>912</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
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    <volume>3852</volume>
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    <title language="eng">Aspects of Optimal Viewpoint Selection and Viewpoint Fusion</title>
    <parentTitle language="eng">Computer Vision – ACCV 2006</parentTitle>
    <identifier type="isbn">3-540-31244-7</identifier>
    <identifier type="url">https://www.academia.edu/download/42129003/Aspects_of_Optimal_Viewpoint_Selection_a20160205-16346-xbaya7.pdf</identifier>
    <enrichment key="opus.import.data">@inproceedingsDeinzer06:AOO, editor = P.J. Narayanan and Shree K. Nayar and Heung-Yeung Shum, booktitle = Computer Vision – ACCV 2006, publisher = Springer, Berlin, series = LNCS, volume = 3852, year = 2006, isbn = 3-540-31244-7, author = Frank Deinzer and Joachim Denzler and Christia Derichs and Heinrich Niemann, title = Aspects of Optimal Viewpoint Selection and Viewpoint Fusion, month = 1, pages = 902–912,</enrichment>
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    <author>Frank Deinzer</author>
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    <id>4426</id>
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    <publishedYear>2006</publishedYear>
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    <title language="eng">Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition</title>
    <parentTitle language="eng">British Machine Vision Conference 2006</parentTitle>
    <identifier type="url">https://citeseerx.ist.psu.edu/document?repid=rep1&amp;type=pdf&amp;doi=31338fb98333d68463ddda4846c7a3ff55a2202a</identifier>
    <enrichment key="opus.import.data">@InProceedingsDeinzer06:IVF, author = Frank Deinzer and Christian Derichs and Joachim Denzler and Heinrich Niemann, title = Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition, booktitle = British Machine Vision Conference 2006, pages = 287–296, year = 2006, publisher = BMVA Malvern,</enrichment>
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    <author>Frank Deinzer</author>
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    <id>4422</id>
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    <publishedYear>2008</publishedYear>
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    <pageFirst>288</pageFirst>
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    <title language="eng">3D Blood Flow Visualization from 2D Angiograms</title>
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