Abstract
In the last few years the research in 3-D object recognition has focused more and more on active approaches. In contrast to the passive approaches of the past decades where a decision is based on one image, active techniques use more than one image from different viewpoints for the classification and localization of an object. In this context several tasks have to be solved. First, how to choose the different viewpoint and how to fusion the multiple views.
In this paper we present an approach for the fusion of multiple views within a continuous pose space. We formally define the fusion as a recursive density propagation problem and we show how to use the Condensation algorithm for solving it. p ]The experimental results show that this approach is well suited for the fusion of multiple views in active object recognition.
This work was partially funded by the German Science Foundation (DFG) under grant SFB 603/TP B2. Only the authors are responsible for the content.
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Deinzer, F., Denzler, J., Niemann, H. (2001). On Fusion of Multiple Views for Active Object Recognition. In: Radig, B., Florczyk, S. (eds) Pattern Recognition. DAGM 2001. Lecture Notes in Computer Science, vol 2191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45404-7_32
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DOI: https://doi.org/10.1007/3-540-45404-7_32
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