@inproceedings{ReinholdDeinzerDenzleretal., author = {Reinhold, M. and Deinzer, Frank and Denzler, Joachim and Paulus, D. and P{\"o}sl, Joseph}, title = {Active Appearance-Based Object Recognition Using Viewpoint Selection}, series = {Proceedings of the 2000 Conference on Vision Modeling and Visualization}, booktitle = {Proceedings of the 2000 Conference on Vision Modeling and Visualization}, editor = {Girod, B. and Niemann, Heinrich and Seidel, H.-P.}, pages = {105 -- 112}, abstract = {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.}, language = {en} }