O estado da arte em Recuperaçãoo de modelos tridimensionais por conteúdo através de uma Revisão Sistemática
Resumo
O avanço da tecnologia possibilita a construção de Sistemas de Informação mais complexos. Uma das abordagens que tem sido desenvolvida nesse sentido e o uso de ambientes tridimensionais. Devido ao grande vo-lume de dados nas bases de imagens é necessária a implementção de métodos eficientes para efetuar a busca desses modelos. Uma das tecnicas existentes é a recuperação baseada por conteúdo, que possui diversos algoritmos para extração de características e usa funções de similaridade para comparar objetos diferentes. Este artigo apresenta resultados de uma Revisao Sistemática realizada sobre este tema, a fim de analisar as técnicas, extratores, funções de similaridade e banco de dados usados.
Palavras-chave:
modelos tridimensionais, Revisão sistemática, Recuperação
Referências
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Biolchini, J., Mian, P. G., Natali, A. C. C., and Travassos, G. H. (2005). Systematic review in software engineering. In Systems Engineering and Computer Science Department.
Boohm, C., Berchtold, S., and Keim, D. A. (2001). Searching in high-dimensional spaces: index structures for improving the performance of multimedia databases. ACM Computing Surveys, 33:322–373.
Chen, Z. Q., Zou, K. S., Ip, W. H., and Chan, C. Y. (2011). 3d model retrieval based on fuzzy weighted shape distributions. In Advanced Materials Research, volume 201-203, pages 1678– 1681. Trans Tech Publications.
Fisher, M., Savva, M., and Hanrahan, P. (2011). Characterizing structural relationships in scenes using graph kernels. ACM Trans. Graph., 30:34:1–34:12.
Gao, B., Zheng, H., and Zhang, S. (2009). An overview of semantics processing in content-based 3d model retrieval. In Proceedings of 11 th International Conference on Artificial Intelligence and Computational Intelligence. AICI, number 11, pages 54–59, Shanghai, China. IEEE Computer Society.
Gao, Y., Wang, M., Zha, Z.-J., Tian, Q., Dai, Q., and Zhang, N. (2011). Less is more: Efficient 3-d object retrieval with query view selection. Multimedia, IEEE Transactions on, 13(5):1007 –1018.
Goncalves, V. M., Nunes, F. S., Delamaro, M. E., and Oliveira, R. A. P. (2011). Avaliacao de funcoes de similaridade em um framework de teste para programas com saidas graficas. In Proceedings of XXXVII Conferencia Latinoamericana deInformática (XXXVII CLEI), volume 1, pages 1–15.
Gong, B., Wang, Y., Liu, J., and Tang, X. (2009a). Automatic facial expression recognition on a single 3d face by exploring shape deformation. In Proceeding in 17th ACM international conference on Multimedia, number 17, pages 569–572, Beijing, China. ACM - Association for Computing Machinery.
Gong, B., Xu, C., Liu, J., and Tang, X. (2009b). Boosting 3d object retrieval by object flexibility. In Proceeding in 17th ACM international conference on Multimedia, number 17, pages 525–528, Beijing, China. ACM - Association for Computing Machinery.
Kazhdan, M., Funkhouser, T., and Rusinkiewicz, S. (2003). Rotation invariant spherical harmonic representation of 3d shape descriptors. In Proceedings of the 1th Eurographics/ACM SIG-GRAPH symposium on Geometry processing, number 1, pages 156–164, Aachen, Germany. Eurographics Association.
Khe, L., Feng, Z., and Ning, H. (2007). An effective approach to content-based 3d model retrieval and classification. In Proceedings of the 1th Internacional Conference on Computational Intelligence and Security (CIS), number 1, pages 361–365, China. IEEE Computer Society.
Kitchenham, B. (2004). Procedures for performing systematic review. Technical Report TR/SE- 0401, Keele University.
Leng, B., Li, L., and Qin, Z. (2007). Made: A composite visual-based 3d shape descriptor. In Proceedings of 3th Internacional Conference on Computer Vision/Computer Graphics Collaboration Techniques, volume 4418, pages 93–104, Rocquencourt, France. Springer Berlin / Heidelberg.
Li, B. and Johan, H. (2010). View context: A 3d model feature for retrieval. In Proceedings of 11 th Conference on Advances in Multimedia Information Processing, volume 5916, pages 185–195. Springer Berlin / Heidelberg.
Li, B. and Johan, H. (2011). 3d model retrieval using hybrid features and class information. Multimedia Tools and Applications, pages 1–26. 10.1007/s11042-011-0873-3.
Li, L., Zhang, S., Zhang, K., and He, Q. (2011). View-based 3d cad model retrieval using local visual features. In Image and Signal Processing (CISP), 2011 4th International Congress on, volume 3, pages 1373 –1376.
Li, X., Godil, A., and Wagan, A. (2008a). 3d part identification based on local shape descriptors. In Proceedings of 8th Workshop on Performance Metrics for Intelligent Systems, number 8, pages 162–166, Washington, United States. ACM - Association for Computing Machinery.
Li, Z., Mitani, J., Fukui, Y., and Nishihara, S. (2008b). Multiresolution wavelet analysis of shape orientation for 3d shape retrieval. In Proceeding of the 1th ACM international conference on Multimedia information retrieval, number 1, pages 403–410, Vancouver, Canada.
Lv, T., Liu, G., bin Huang, S., and xuan Wang, Z. (2009). Selective feature combination and automatic shape categorization of 3d models. In Proceedings of 6th International Conference on Fuzzy Systems and Knowledge Discovery. FSKD, number 6, pages 447–451, Tianjin, China. IEEE Computer Society.
Nunes, F. L. S., Melo, C. R. M., Correa, C. G., Tori, R., Barbosa, J., Pichi, F., and Nakamura, R. (2010). importancia da avaliacao na engenharia de requisitos em sistemas de realidade virtual e aumentada: um estudo de caso. In Symposium on Virtual and Augmented Reality, number 7, Natal, Rio Grande do Norte.
Ohbuchi, R., Osada, K., Furuya, T., and Banno, T. (2008). Salient local visual features for shape based 3d model retrieval. In Proceedings of 8th IEEE International Conference on Shape Modeling and Applications. SMI, number 8, pages 93–102.
Osada, K., Furuya, T., and Ohbuchi, R. (2008). Local volumetric features for 3d model retrieval. In Proceeding of 8th IEEE International Conference on Shape Modeling and Applications. SMI, number 8, pages 245–246, New York, USA. IEEE Computer Society.
Qin, Z., Jia, J., and Qin, J. (2008). Content based 3d model retrieval: A survey. In Proceedings of 6th International Workshop on Content-Based Multimedia Indexing. CBMI., number 6, pages 249–256, London, England. IEEE Computer Society.
Ruan, J., Lin, J., Yang, Y., and Wei, W. (2008). A high performance computing platform for 3d model retrieval. In Proceedings of 1th International Conference on Computer Science and Software Engineering. (CSSE), number 1, pages 446–449, Wuhan, China. IEEE Computer Society.
Saavedra, J. M., Bustos, B., Scherer, M., and Schreck, T. (2011). Stela: sketch-based 3d model retrieval using a structure-based local approach. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR ’11, pages 26:1–26:8, New York, NY, USA. ACM.
Song, J.-J. and Golshani, F. (2003). Shape-based 3d model retrieval. In Proceedings of 15th IEEE International Conference on Tools with Artificial Intelligence, number 15, pages 636– 640, California, Estados Unidos. IEEE Computer Society.
Wang, D. and Cui, C. (2004). 3d model similarity measurement with geometric feature map based on phase-encoded range image. In Proceedings of 5th Conference on Advances in Multimedia Information Processing, volume 3333, pages 103–110. Springer Berlin / Heidelberg.
Wang, X., Wang, S., and Pang, H. (2011). Distance metric learning based on semantic correlation strength for 3d model retrieval. In Multimedia and Signal Processing (CMSP), 2011 International Conference on, volume 1, pages 334 –338.
Wei, W., Yang, Y., Lin, J., and Ruan, J. (2008). Color-based 3d model classification using hopfield neural network. In Proceedings of 1th International Conference on Computer Scienceand Software Engineering. CSSE, number 1, pages 883–886, Wuhan, China. IEEE Computer Society.
Wu, H.-Y., Luo, T., Wang, L., Wang, X.-L., and Zha, H. (2009). 3d shape retrieval by using manifold harmonics analysis with an augmentedly local feature representation. In Proceeding of 8th International Conference on Virtual Reality Continuum and its Applications in Industry, number 8, pages 311–314, Tokio, Japan. ACM - Association for Computing Machinery.
Xiang, P., Hua, C., Gang, F., and Chuan, Z. (2007). Pose insensitive 3d retrieval by poisson shape histogram - in computational science. In Proceedings of 7th International Conference of Computational Science, volume 4488, pages 25–32, Beijing, China. Springer Berlin / Heidelberg.
Yachun, F., Mingquan, Z., and Guohua, G. (2009). Semantic-oriented 3d model retrieval using visual vocabulary labelling. In Proceedings of 1th International Joint Conference on Artificial Intelligence. JCAI, number 1, pages 642–647, Hainan, Island. IEEE Computer Society.
Yoon, S. M., Scherera, M., Schreck, T., and Kuijper, A. (2010). Sketch-based 3d model retrieval using diffusion tensor fields of suggestive contours. In Proceedings of the 18th international conference on Multimedia, number 18, pages 193–200, Firenze,Italy. ACM - Association for Computing Machinery.
Yubin, Y., Hui, L., and Yao, Z. (2007). Content-based 3-d model retrieval: A survey. In Proceedings of 7th IEEE Transactions on Systems, Man, and Cybernetics., volume 36, pages 1081–1098. IEEE Computer Society.
Zhi-yong, Z. and Bai-lin, Y. (2010a). A relevance feedback based on bayesian logistic regression for 3d model retrieval. In Proceeding of 2th International Conference on Computer Application and System Modeling (ICCASM), number 2, pages 77–80, Taiwan. IEEE Computer Society.
Zhi-yong, Z. and Bai-lin, Y. (2010b). A relevance feedback scheme based on hidden markov model regression for 3d model retrieval. In Proceedings of 3th International Workshop on Advanced Computational Intelligence. (IWACI), number 3, pages 657–660, Jiagsu, China. IEEE Computer Society
Biolchini, J., Mian, P. G., Natali, A. C. C., and Travassos, G. H. (2005). Systematic review in software engineering. In Systems Engineering and Computer Science Department.
Boohm, C., Berchtold, S., and Keim, D. A. (2001). Searching in high-dimensional spaces: index structures for improving the performance of multimedia databases. ACM Computing Surveys, 33:322–373.
Chen, Z. Q., Zou, K. S., Ip, W. H., and Chan, C. Y. (2011). 3d model retrieval based on fuzzy weighted shape distributions. In Advanced Materials Research, volume 201-203, pages 1678– 1681. Trans Tech Publications.
Fisher, M., Savva, M., and Hanrahan, P. (2011). Characterizing structural relationships in scenes using graph kernels. ACM Trans. Graph., 30:34:1–34:12.
Gao, B., Zheng, H., and Zhang, S. (2009). An overview of semantics processing in content-based 3d model retrieval. In Proceedings of 11 th International Conference on Artificial Intelligence and Computational Intelligence. AICI, number 11, pages 54–59, Shanghai, China. IEEE Computer Society.
Gao, Y., Wang, M., Zha, Z.-J., Tian, Q., Dai, Q., and Zhang, N. (2011). Less is more: Efficient 3-d object retrieval with query view selection. Multimedia, IEEE Transactions on, 13(5):1007 –1018.
Goncalves, V. M., Nunes, F. S., Delamaro, M. E., and Oliveira, R. A. P. (2011). Avaliacao de funcoes de similaridade em um framework de teste para programas com saidas graficas. In Proceedings of XXXVII Conferencia Latinoamericana deInformática (XXXVII CLEI), volume 1, pages 1–15.
Gong, B., Wang, Y., Liu, J., and Tang, X. (2009a). Automatic facial expression recognition on a single 3d face by exploring shape deformation. In Proceeding in 17th ACM international conference on Multimedia, number 17, pages 569–572, Beijing, China. ACM - Association for Computing Machinery.
Gong, B., Xu, C., Liu, J., and Tang, X. (2009b). Boosting 3d object retrieval by object flexibility. In Proceeding in 17th ACM international conference on Multimedia, number 17, pages 525–528, Beijing, China. ACM - Association for Computing Machinery.
Kazhdan, M., Funkhouser, T., and Rusinkiewicz, S. (2003). Rotation invariant spherical harmonic representation of 3d shape descriptors. In Proceedings of the 1th Eurographics/ACM SIG-GRAPH symposium on Geometry processing, number 1, pages 156–164, Aachen, Germany. Eurographics Association.
Khe, L., Feng, Z., and Ning, H. (2007). An effective approach to content-based 3d model retrieval and classification. In Proceedings of the 1th Internacional Conference on Computational Intelligence and Security (CIS), number 1, pages 361–365, China. IEEE Computer Society.
Kitchenham, B. (2004). Procedures for performing systematic review. Technical Report TR/SE- 0401, Keele University.
Leng, B., Li, L., and Qin, Z. (2007). Made: A composite visual-based 3d shape descriptor. In Proceedings of 3th Internacional Conference on Computer Vision/Computer Graphics Collaboration Techniques, volume 4418, pages 93–104, Rocquencourt, France. Springer Berlin / Heidelberg.
Li, B. and Johan, H. (2010). View context: A 3d model feature for retrieval. In Proceedings of 11 th Conference on Advances in Multimedia Information Processing, volume 5916, pages 185–195. Springer Berlin / Heidelberg.
Li, B. and Johan, H. (2011). 3d model retrieval using hybrid features and class information. Multimedia Tools and Applications, pages 1–26. 10.1007/s11042-011-0873-3.
Li, L., Zhang, S., Zhang, K., and He, Q. (2011). View-based 3d cad model retrieval using local visual features. In Image and Signal Processing (CISP), 2011 4th International Congress on, volume 3, pages 1373 –1376.
Li, X., Godil, A., and Wagan, A. (2008a). 3d part identification based on local shape descriptors. In Proceedings of 8th Workshop on Performance Metrics for Intelligent Systems, number 8, pages 162–166, Washington, United States. ACM - Association for Computing Machinery.
Li, Z., Mitani, J., Fukui, Y., and Nishihara, S. (2008b). Multiresolution wavelet analysis of shape orientation for 3d shape retrieval. In Proceeding of the 1th ACM international conference on Multimedia information retrieval, number 1, pages 403–410, Vancouver, Canada.
Lv, T., Liu, G., bin Huang, S., and xuan Wang, Z. (2009). Selective feature combination and automatic shape categorization of 3d models. In Proceedings of 6th International Conference on Fuzzy Systems and Knowledge Discovery. FSKD, number 6, pages 447–451, Tianjin, China. IEEE Computer Society.
Nunes, F. L. S., Melo, C. R. M., Correa, C. G., Tori, R., Barbosa, J., Pichi, F., and Nakamura, R. (2010). importancia da avaliacao na engenharia de requisitos em sistemas de realidade virtual e aumentada: um estudo de caso. In Symposium on Virtual and Augmented Reality, number 7, Natal, Rio Grande do Norte.
Ohbuchi, R., Osada, K., Furuya, T., and Banno, T. (2008). Salient local visual features for shape based 3d model retrieval. In Proceedings of 8th IEEE International Conference on Shape Modeling and Applications. SMI, number 8, pages 93–102.
Osada, K., Furuya, T., and Ohbuchi, R. (2008). Local volumetric features for 3d model retrieval. In Proceeding of 8th IEEE International Conference on Shape Modeling and Applications. SMI, number 8, pages 245–246, New York, USA. IEEE Computer Society.
Qin, Z., Jia, J., and Qin, J. (2008). Content based 3d model retrieval: A survey. In Proceedings of 6th International Workshop on Content-Based Multimedia Indexing. CBMI., number 6, pages 249–256, London, England. IEEE Computer Society.
Ruan, J., Lin, J., Yang, Y., and Wei, W. (2008). A high performance computing platform for 3d model retrieval. In Proceedings of 1th International Conference on Computer Science and Software Engineering. (CSSE), number 1, pages 446–449, Wuhan, China. IEEE Computer Society.
Saavedra, J. M., Bustos, B., Scherer, M., and Schreck, T. (2011). Stela: sketch-based 3d model retrieval using a structure-based local approach. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR ’11, pages 26:1–26:8, New York, NY, USA. ACM.
Song, J.-J. and Golshani, F. (2003). Shape-based 3d model retrieval. In Proceedings of 15th IEEE International Conference on Tools with Artificial Intelligence, number 15, pages 636– 640, California, Estados Unidos. IEEE Computer Society.
Wang, D. and Cui, C. (2004). 3d model similarity measurement with geometric feature map based on phase-encoded range image. In Proceedings of 5th Conference on Advances in Multimedia Information Processing, volume 3333, pages 103–110. Springer Berlin / Heidelberg.
Wang, X., Wang, S., and Pang, H. (2011). Distance metric learning based on semantic correlation strength for 3d model retrieval. In Multimedia and Signal Processing (CMSP), 2011 International Conference on, volume 1, pages 334 –338.
Wei, W., Yang, Y., Lin, J., and Ruan, J. (2008). Color-based 3d model classification using hopfield neural network. In Proceedings of 1th International Conference on Computer Scienceand Software Engineering. CSSE, number 1, pages 883–886, Wuhan, China. IEEE Computer Society.
Wu, H.-Y., Luo, T., Wang, L., Wang, X.-L., and Zha, H. (2009). 3d shape retrieval by using manifold harmonics analysis with an augmentedly local feature representation. In Proceeding of 8th International Conference on Virtual Reality Continuum and its Applications in Industry, number 8, pages 311–314, Tokio, Japan. ACM - Association for Computing Machinery.
Xiang, P., Hua, C., Gang, F., and Chuan, Z. (2007). Pose insensitive 3d retrieval by poisson shape histogram - in computational science. In Proceedings of 7th International Conference of Computational Science, volume 4488, pages 25–32, Beijing, China. Springer Berlin / Heidelberg.
Yachun, F., Mingquan, Z., and Guohua, G. (2009). Semantic-oriented 3d model retrieval using visual vocabulary labelling. In Proceedings of 1th International Joint Conference on Artificial Intelligence. JCAI, number 1, pages 642–647, Hainan, Island. IEEE Computer Society.
Yoon, S. M., Scherera, M., Schreck, T., and Kuijper, A. (2010). Sketch-based 3d model retrieval using diffusion tensor fields of suggestive contours. In Proceedings of the 18th international conference on Multimedia, number 18, pages 193–200, Firenze,Italy. ACM - Association for Computing Machinery.
Yubin, Y., Hui, L., and Yao, Z. (2007). Content-based 3-d model retrieval: A survey. In Proceedings of 7th IEEE Transactions on Systems, Man, and Cybernetics., volume 36, pages 1081–1098. IEEE Computer Society.
Zhi-yong, Z. and Bai-lin, Y. (2010a). A relevance feedback based on bayesian logistic regression for 3d model retrieval. In Proceeding of 2th International Conference on Computer Application and System Modeling (ICCASM), number 2, pages 77–80, Taiwan. IEEE Computer Society.
Zhi-yong, Z. and Bai-lin, Y. (2010b). A relevance feedback scheme based on hidden markov model regression for 3d model retrieval. In Proceedings of 3th International Workshop on Advanced Computational Intelligence. (IWACI), number 3, pages 657–660, Jiagsu, China. IEEE Computer Society
Publicado
16/05/2012
Como Citar
BERGAMASCO, Leila C. Carneiro; NUNES, Fátima L. S..
O estado da arte em Recuperaçãoo de modelos tridimensionais por conteúdo através de uma Revisão Sistemática. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 8. , 2012, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
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p. 121-132.
DOI: https://doi.org/10.5753/sbsi.2012.14399.
