TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Niemann, Heinrich T1 - Viewpoint Selection - A Classifier Independent Learning Approach T2 - IEEE Southwest Symposium on Image Analysis and Interpretation, Austin, Texas, USA Y1 - 2000 UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=839601 SN - 0-7695-0595-3 SP - 209 EP - 213 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Niemann, Heinrich ED - Sommer, G. ED - Krüger, N. ED - Perwass, Ch. T1 - Classifier Independent Viewpoint Selection for 3-D Object Recognition T2 - Mustererkennung 2000, 22. DAGM-Symposium, Kiel Y1 - 2000 UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=8398ae0830730be8047a810c0f90efdbcd7eb60d SN - 3-540-67886-7 SP - 237 EP - 244 ER - TY - CHAP A1 - Gräßl, Christoph A1 - Deinzer, Frank A1 - Niemann, Heinrich ED - Krasnoproshin, V. ED - Ablameyko, S. ED - Soldek, J. T1 - Continuous Parametrization of Normal Distributions for Improving the Discrete Statistical Eigenspace Approach for Object Recognition T2 - Pattern Recognition and Information Processing Y1 - 2003 UR - https://d1wqtxts1xzle7.cloudfront.net/42129001/Continuous_parametrization_of_normal_dis20160205-16346-rayto3-libre.pdf?1454667530=&response-content-disposition=inline%3B+filename%3DContinuous_parametrization_of_normal_dis.pdf&Expires=1696432558&Signature=TmoSjs27NuupbCgHp6Y6aZdGGychAuKRf66hsbjelx-Zxe3FPaK25CiMC73SL~I4uz0DbjQN3ZwmFYwlgMuJRRcgO6AIaac4vNtJHfly-lOPIhXYqdsA3w3VwDeFU2SzEWZ7KEdn~rHjk4ZK8TZ6JOGzbO4CIe5SnOyhwUJL7w9o6~UwGGvtHKtNYOugvbwMdDr7iOanVhRQvMT5Fr1AEp5-mDS9VAg~7fkMD39pc-9vRBj0-4eS4tBQQFApJeYR244n7e~4wRClNqZp2lfn5kPjf-df5xj6iXBIUe4EKt53cR~ZFvE96N405yH14wGiTpGd1Vtx5VC-J0mS4o9XeQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA VL - 1 SP - 73 EP - 77 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Niemann, Heinrich ED - Radig, B. T1 - On Fusion of Multiple Views for Active Object Recognition T2 - Pattern Recognition – Proceedings of the 23rd DAGM Symposium Y1 - 2001 UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=5170210ad2af6eef654e4313395dccab8b094bf7 VL - 2191 SP - 239 EP - 245 ER - TY - CHAP A1 - Gräßl, Christoph A1 - Deinzer, Frank A1 - Mattern, F. A1 - Niemann, Heinrich T1 - Improving Statistical Object Recognition Approaches by a Parameterization of Normal Distributions T2 - 6th German-Russian IAPR Workshop on Pattern Recognition and Image Understanding Y1 - 2003 SP - 38 EP - 41 ER - TY - CHAP A1 - Gräßl, Christoph A1 - Deinzer, Frank A1 - Mattern, F. A1 - Niemann, Heinrich T1 - Improving Statistical Object Recognition Approaches by a Parameterization of Normal Distributions T2 - 6th German-Russian IAPR Workshop on Pattern Recognition and Image Understanding N2 - As statistical approaches play an important role in object recognition, we present a novel approach which is based on object mod- els consisting of normal distributions for each training image. We show how to parameterize the mean vector and covariance matrix independently from the interpolation technique and formulate the classification and localization as a continuous optimization problem. This enables the computation of object poses which have never been seen during training. For interpolation, we present four different techniques which are compared in an experiment with real images. The results show the benefits of our method both in classification rate and pose estimation accuracy. Y1 - 2004 UR - https://www.researchgate.net/profile/Frank-Deinzer/publication/215748368_Improving_Statistical_Object_Recognition_Approaches_by_a_Parameterization_of_Normal_Distributions/links/0912f51017f34be4cb000000/Improving-Statistical-Object-Recognition-Approaches-by-a-Parameterization-of-Normal-Distributions.pdf SN - 1054-6618 VL - 14 IS - 2 SP - 222 EP - 230 ER - TY - CHAP A1 - Grzegorzek, Marcin A1 - Deinzer, Frank A1 - Reinhold, Michael A1 - Denzler, Joachim A1 - Niemann, Heinrich ED - Ertl, T. ED - Girod, B. ED - Greiner, G. ED - Niemann, Heinrich ED - Seidl, H.-P. ED - Steinbach, E. ED - Westermann, R. T1 - How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments T2 - Proceedings of the Vision, Modeling, and Visualization Conference 2003 N2 - 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. Y1 - 2003 UR - https://pub.inf-cv.uni-jena.de/pdf/Grzegorzek03:HFO.pdf SN - 3-89838-048-3 SP - 553 EP - 560 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Niemann, Heinrich ED - Petkov, N. ED - Westenberg, M. T1 - Viewpoint Selection – Planning Optimal Sequences of Views for Object Recognition T2 - Computer Analysis of Images and Patterns – CAIP 2003 Y1 - 2003 UR - https://pub.inf-cv.uni-jena.de/pdf/Deinzer03:VSP.pdf SN - 3-540-40730-8 VL - 2756 SP - 65 EP - 73 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Niemann, Heinrich T1 - Improving Object Recognition By Fusion Of Multiple Views T2 - Proceedings of the Third Indian Conference on Computer Vision Graphics and Image Processing Y1 - 2002 UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=fb45b6f10124e4ae3a0e9c27c8ece6632c25c519 SP - 161 EP - 166 ER - TY - CHAP A1 - Fischer, Julia A1 - Haas, Jürgen A1 - Nöth, Elmar A1 - Niemann, Heinrich A1 - Deinzer, Frank T1 - Empowering Knowledge Based Speech Understanding through Statistics T2 - 5th Interational Conference on Spoken Language Processing Y1 - 1998 UR - https://www.academia.edu/download/42129006/Empowering_Knowledge_Based_Speech_Unders20160205-16348-1ph4ycn.pdf VL - 5 SP - 2231 EP - 2235 ER - TY - CHAP A1 - Derichs, Christian A1 - Deinzer, Frank A1 - Niemann, Heinrich T1 - Cost Integration in Multi-Step Viewpoint Selection for Object Recognition T2 - Proceedings of the International Conference on Machine Learning and Data Mining MLDM 2005 Y1 - 2005 UR - http://opendl.ifip-tc6.org/db/conf/mldm/mldm2005/DerichsDN05.pdf SP - 415 EP - 425 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Derichs, Christia A1 - Niemann, Heinrich ED - Narayanan, P.J. ED - Nayar, Shree K. ED - Shum, Heung-Yeung T1 - Aspects of Optimal Viewpoint Selection and Viewpoint Fusion T2 - Computer Vision – ACCV 2006 Y1 - 2006 UR - https://www.academia.edu/download/42129003/Aspects_of_Optimal_Viewpoint_Selection_a20160205-16346-xbaya7.pdf SN - 3-540-31244-7 VL - 3852 SP - 902 EP - 912 ER - TY - CHAP A1 - Deinzer, Frank A1 - Derichs, Christian A1 - Denzler, Joachim A1 - Niemann, Heinrich T1 - Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition T2 - British Machine Vision Conference 2006 Y1 - 2006 UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=31338fb98333d68463ddda4846c7a3ff55a2202a SP - 287 EP - 296 ER -