A benchmark of simulated range images for partial shape retrieval

Ivan Sipiran, Rafael Meruane, Benjamin Bustos, Tobias Schreck, Bo Li, Yijuan Lu, Henry Johan

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Pages (from-to)1293-1308
Number of pages16
JournalVisual Computer
Volume30
Issue number11
DOIs
StatePublished - 21 Oct 2014
Externally publishedYes

Keywords

  • Benchmarking
  • Partial shape retrieval
  • Performance evaluation

Fingerprint

Dive into the research topics of 'A benchmark of simulated range images for partial shape retrieval'. Together they form a unique fingerprint.

Cite this