Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/28764| Autoria: | Proença, P. Gaspar, F. Dias, J. |
| Editor: | George Bebis Richard Boyle Bahram Parvin Darko Koracin Baoxin Li Fatih Porikli Victor Zordan David Gotz James Klosowski Sabine Coquillart Xun Luo Min Chen |
| Data: | 2013 |
| Título próprio: | Good appearance and shape descriptors for object category recognition |
| Volume: | 8033 |
| Título e volume do livro: | Advances in visual computing: 9th International Symposium, ISVC 2013, Proceedings |
| Paginação: | 385 - 394 |
| Título e número da coleção: | Lecture Notes in Artificial Intelligence; |
| Referência bibliográfica: | Proença, P., Gaspar, F., & Dias, J. (2013). Good appearance and shape descriptors for object category recognition. Em G. Bebis, R. Boyle, B. Parvin, D. Koracin, B. Li, F. Porikli, V. Zordan, J. Klosowski, S. Coquillart, X. Luo, M. Chen, & D. Gotz (Eds.). Advances in visual computing: 9th International Symposium, ISVC 2013, Proceedings (pp. 385-394). Springer. https://doi.org/10.1007/978-3-642-41914-0_38 |
| ISSN: | 0302-9743 |
| ISBN: | 978-3-642-41913-3 |
| Palavras-chave: | Information Intra class Learning-based approach Naive bayes Nearest neighbors Object category recognition Shape based Shape descriptors |
| Resumo: | In the problem of object category recognition, we have studied different families of descriptors exploiting RGB and 3D information. Furthermore, we have proven practically that 3D shape-based descriptors are more suitable for this type of recognition due to low shape intra-class variance, as opposed to image texture-based. In addition, we have also shown how an efficient Naive Bayes Nearest Neighbor (NBNN) classifier can scale to a large hierarchical RGB-D Object Dataset [2] and achieve, with a single descriptor type, an accuracy close to state-of-art learning based approaches using combined descriptors. |
| Arbitragem científica: | yes |
| Acesso: | Acesso Aberto |
| Aparece nas coleções: | ISTAR-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
| Ficheiro | Tamanho | Formato | |
|---|---|---|---|
| conferenceObject_24329.pdf | 1,55 MB | Adobe PDF | Ver/Abrir |
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.