Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Afzal A. Godil;|
|Title:||A comparison of methods for sketch-based 3D shape retrieval|
|Published:||December 13, 2013|
|Abstract:||Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small-scale and large-scale benchmarks, respectively. Six and five (nine in total) distinct sketch-based 3D shape retrieval methods have competed each other in these two contests, respectively. To measure and compare the performance of the top participating and other existing promising sketch-based 3D shape retrieval methods and solicit the state-of-the-art approaches, we perform a more comprehensive comparison of fifteen best (four top participating algorithms and eleven additional state-of-the-art methods) retrieval methods by completing the evaluation of each method on both benchmarks. The benchmarks, results, and evaluation tools for the two tracks are publicly available on our websites  and .|
|Citation:||Computer Vision and Image Understanding|
|Pages:||pp. 57 - 80|
|Keywords:||Sketch-based 3D model retrieval, Evaluation, SHREC contest, Large-scale, Benchmark|
|Research Areas:||Data and Informatics, Information Delivery Systems, Modeling, Software, Information Processing Systems, Imaging|
|PDF version:||Click here to retrieve PDF version of paper (3MB)|