Sketch-Based 3D Model Retrieval Using Attributes
| Autor: | Jihua Ye, Jianming Liu, Haopeng Lei, Yuhua Li, Guoliang Luo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Thesaurus (information retrieval)
Information retrieval Computer Networks and Communications Computer science business.industry 020207 software engineering 3d model 02 engineering and technology Sketch 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Visual Word business |
| Zdroj: | International Journal of Grid and High Performance Computing. 10:60-75 |
| ISSN: | 1938-0267 1938-0259 |
| DOI: | 10.4018/ijghpc.2018070105 |
| Popis: | With the rapid growth of available 3D models on the Internet, how to retrieve 3D models based on hand-drawn sketch retrieval are becoming increasingly important. This article proposes a new sketch-based 3D model retrieval approach. This approach is different from current methods that make use of low-level visual features to capture the search intention of users. The proposed method uses two kinds of semantic attributes, including pre-defined attributes and latent attributes. Specifically, pre-defined attributes are defined manually which can provide prior knowledge about different sketch categories and latent-attributes are more discriminative which can differentiate sketch categories at a finer level. Therefore, these semantic attributes can provide a more descriptive and discriminative meaningful representation than low-level feature descriptors. The experiment results demonstrate that this proposed method can achieve superior performance over previously proposed sketch-based 3D model retrieval methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|