A filter-refinement scheme for 3D model retrieval based on sorted extended Gaussian image histogram
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Machine Learning and Data Mining in Pattern Recognition |
| Subtitle of host publication | 5th International Conference, MLDM 2007, Proceedings |
| Publisher | Springer Verlag |
| Pages | 643-652 |
| Volume | 4571 LNAI |
| ISBN (print) | 9783540734987 |
| Publication status | Published - 2007 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4571 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Conference
| Title | 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2007 |
|---|---|
| Place | Germany |
| City | Leipzig |
| Period | 18 - 20 July 2007 |
Link(s)
Abstract
In this paper, we propose a filter-refinement scheme based on a new approach called Sorted Extended Gaussian Image histogram approach (SEGI) to address the problems of traditional EGI. Specifically, SEGI first constructs a 2D histogram based on the EGI histogram and the shell histogram. Then, SEGI extracts two kinds of descriptors from each 3D model: (i) the descriptor from the sorted histogram bins is used to perform approximate 3D model retrieval in the filter step, and (ii) the descriptor which records the relations between the histogram bins is used to refine the approximate results and obtain the final query results. The experiments show that SEGI outperforms most of state-of-art approaches (e.g., EGI, shell histogram) on the public Princeton Shape Benchmark. © Springer-Verlag Berlin Heidelberg 2007.
Research Area(s)
- Extended Gaussian image, Filter-refinement
Citation Format(s)
A filter-refinement scheme for 3D model retrieval based on sorted extended Gaussian image histogram. / Yu, Zhiwen; Zhang, Shaohong; Wong, Hau-San et al.
Machine Learning and Data Mining in Pattern Recognition: 5th International Conference, MLDM 2007, Proceedings. Vol. 4571 LNAI Springer Verlag, 2007. p. 643-652 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4571 LNAI).
Machine Learning and Data Mining in Pattern Recognition: 5th International Conference, MLDM 2007, Proceedings. Vol. 4571 LNAI Springer Verlag, 2007. p. 643-652 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4571 LNAI).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
