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 [1,2].
| Original language | English |
|---|---|
| Pages (from-to) | 57-80 |
| Number of pages | 24 |
| Journal | Computer Vision and Image Understanding |
| Volume | 119 |
| DOIs | |
| State | Published - Feb 2014 |
| Externally published | Yes |
Keywords
- Benchmark
- Evaluation
- Large-scale
- SHREC contest
- Sketch-based 3D model retrieval