Performance evaluation in natural and controlled environments applied to feature extraction procedures

The paper highlights approaches to reference data acquisition in real environments for the purpose of performance evaluation of image analysis procedures. Reference data for the input and for the output of an algorithm is obtained by a) exploiting the noise characteristics of Gaussian image pyramids and b) exploiting multiple views. The approaches are employed exemplarily in the context of evaluating low level feature extraction algorithms.