Fuzzy relative positions for qualitative pose estimation

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 an 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