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Fuzzy relative positions for qualitative pose estimation

Authors: Jean-Philippe Andreu; Axel Pinz;

Fuzzy relative positions for qualitative pose estimation

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 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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