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Tasse F.P.,University of Cambridge | Kosinka J.,Johann Bernoulli Institute for Mathematics and Computer Science JBI | Dodgson N.,Victoria University of Wellington
Computers and Graphics (Pergamon) | Year: 2016

Sparse features have been successfully used in shape retrieval, by encoding feature descriptors into global shape signatures. We investigate how sparse features based on saliency models affect retrieval and provide recommendations on good saliency models for shape retrieval. Our results show that randomly selecting points on the surface produces better retrieval performance than using any of the evaluated salient keypoint detection, including ground-truth. We discuss the reasons for and implications of this unexpected result. © 2016 Elsevier Ltd. All rights reserved. Source

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