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2004
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A Fast Discriminant Approach to Active Object Recognition and Pose Estimation

9 years 6 months ago
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically fusing successive observations with the current belief state of the system. Based on the current belief state, the next viewpoint is chosen to maximize the expected discriminability of the current competing hypotheses. Experiments on a difficult database of aircraft models show that this approach achieves comparable recognition performance to the widely used information theoretic approaches at a much lower computational cost.
Catherine Laporte, Rupert Brooks, Tal Arbel
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Catherine Laporte, Rupert Brooks, Tal Arbel
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