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Title A Benchmark of Simulated Range Images for Partial Shape Retrieval
Authors Ivan Sipiran (alum), Rafael Meruane, Benjamin Bustos, Tobias Schreck, Bo Li, Yijuan Lu, Henry Johan
Publication date November 2014
Abstract In this paper, we address the evaluation of algorithms for
partial shape retrieval using a large-scale simulated benchmark of partial
views which are used as queries. Since the scanning of real objects is a
time-consuming task, we create a simulation that generates a set of views
from a target model and at different levels of complexity (amount of missing
data). In total, our benchmark contains 7,200 partial views. Furthermore, we
propose the use of weighted effectiveness measures based on the complexity
of a query. With these characteristics, we aim at jointly evaluating the
effectiveness, efficiency and robustness of existing algorithms. As a result
of our evaluation, we found that a combination of methods provides the best
effectiveness, mainly due to the complementary information that they
deliver. The obtained results open new questions regarding the difficulty of
the partial shape retrieval problem. As a consequence, potential future
directions are also identified.
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Pages 1293-1308
Volume 30
Journal name The Visual Computer
Publisher Springer (New York, NY, USA)
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