Learning view-model joint relevance for 3D object retrieval
3D object retrieval has attracted extensive research efforts and become an important task in recent years. It is noted that how to measure the relevance between 3D objects is still a difficult issue. Most of the existing methods employ just the model-based or view-based approaches, which may lead to...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 5 vom: 02. Mai, Seite 1449-59
|
|---|
| 1. Verfasser: |
Lu, Ke
(VerfasserIn) |
|---|
| Weitere Verfasser: |
He, Ning,
Xue, Jian,
Dong, Jiyang,
Shao, Ling |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2015
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|