The system is allowed to reposition the camera to capture additional views and, therefore, to improve the classification result obtained from a single view. The approach uses an appearance based object representation, namely the parametric eigenspace, and augments it by probability distributions. This enables us to cope with possible variations in the input images due to errors in the pre-processing chain or changing imaging conditions. Furthermore, the use of probability distributions gives us a gauge to perform view planning.
Active recognition accumulates evidence collected from a multitude of sensor observations.
294 H. Borotschnig et al. Active recognition accumulates evidence collected from a multitude of sensor observations. Appearance Based Active Object Recognition. Image and Vision Computing, submitted. Appearance Based Active Object Recognition.