Abstract
Similarity of object part embedding (description of how each part is surrounded by its neighbors) can be used to qualitatively infer similarity of images. We present a new approach using fuzzy relative positions to qualitatively describe and reason with object part embedding. In the framework of a qualitative active object recognition experiment, we demonstrate the usefulness of the approach in order to recover the pose of the object under inspection with regard to the camera viewing direction.