Abstract
To improve the retrieval performance of 3D CAD model, we propose three combined feature descriptor and a class information based feature descriptor. First, we propose a novel feature descriptor Normal Angle Area (NAA) based on the 3D models surface and normals, and then we combined NAA with D2 and Bounding Box feature to form a more powerful feature DBNAA. Second, we combine DBNAA with Depth buffer images (DE), Ray extent (RE) to form DBNAA_DERE descriptor, and combine DBNAA with PANORAMA to form DBNAA_PANORAMA descriptor. Finally, we utilize the class information of dataset and propose a method called DBNAA_CBR which use a novel method to fuse class information into retrieval process. Experimental results on ESB dataset show that the results of DBNAA is similar to light field descriptors (LF) but with lower computational cost, DBNAA_DERE is better than DESIRE, DBNAA_PANORAMA performed better than all other non class information based methods. Further experiments showed that when we set an appropriate parameter for DBNAA_CBR it performs better than CBR-ZFDR.
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References
Atmosukarto I, Leow WK, Huang Z (2005) Feature combination and relevance feedback for 3D model retrieval. In: Proceedings of the 11th International Multimedia Modelling Conference. MMM 2005. IEEE, pp 334–339
Boyer E, Bronstein AM, Bronstein MM et al (2011) SHREC2011: robust feature detection and description benchmark. In: Eurographics Workshop on 3D Object Retrieval, 3DOR 2011, pp71–78
Bustos B, Schreck T, Walter M, Barrios JM, Schaefer M, Keim D (2012) Improving 3D similarity search by enhancing and combining 3D descriptors. Multimedia Tools Appl 58(1):81–108
Chen DY, Tian XP, Shen YT, Ouhyoung M (2003) On visual similarity based 3D model retrieval. Comput Graph Forum 22(3):223–232
Chen Q, Yu YM (2013) 3D CAD model retrieval based on feature fusion. Adv Mater Res 765:316–319
Jayanti S, Kalyanaraman Y, Iyer N, Ramani K (2006) Developing an engineering shape benchmark for CAD models. Comput Aided Des 38(9):939–953
Kalyanaraman Y, Boutin M, Ramani K (2005) Effectiveness of convex hull histograms for shape matching. PRECISE technical report. PRE-TR-2005-2. Purdue University, West Lafayette
Kazhdan M, Funkhouser T, Rusinkiewicz S (2003) Rotation invariant spherical harmonic representation of 3D shape descriptors. In: Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing. Eurographics Association, pp 156–164
Kobayashi J, Yamamoto A, Shimizu T, Ohbuchi R (2007) A database-adaptive distance measure for 3D model retrieval. Procs. 3D Shape Retrieval Contest
Li B, Johan H (2013) 3D model retrieval using hybrid features and class information. Multimedia Tools Appl 62(3):821–846
Ohbuchi R, Hata Y (2006) Combining multiresolution shape descriptors for 3d model retrieval. In: Proc. WSCG, vol 79
Ohbuchi R, Minamitani T, Takei T (2005) Shape-similarity search of 3D models by using enhanced shape functions. Int J Comput Appl Technol 23(2):70–85
Osada R, Funkhouser T, Chazelle B, Dobkin D (2002) Shape distributions. ACM Trans Graph 21(4):807–832
Papadakis P, Pratikakis I, Theoharis T, Passalis G, Perantonis S (2008) 3D object retrieval using an efficient and compact hybrid shape descriptor. In: Eurographics Workshop on 3D Object Retrieval
Papadakis P, Pratikakis I, Theoharis T, Perantonis S (2010) PANORAMA: a 3D shape descriptor based on panoramic views for unsupervised 3D object retrieval. Int J Comput Vis 89(2–3):177–192
Paquet E, Rioux M, Murching A, Naveen T, Tabatabai A (2000) Description of shape information for 2-D and 3-D objects. Signal Process Image Commun 16(1):103–122
Shih JL, Chen HY (2009) A 3D model retrieval approach using the interior and exterior 3D shape information. Multimedia Tools Appl 43(1):45–62
Shilane P, Min P, Kazhdan M, Funkhouser T (2004) The Princeton shape benchmark. In: Proceedings. Shape Modeling Applications. IEEE, pp 167–178
Tangelder JW, Veltkamp RC (2008) A survey of content based 3D shape retrieval methods. Multimedia Tools Appl 39(3):441–471
Ullman DG (1997) The mechanical design process, 2nd edn. McGraw-Hill, New York
Vranić DV (2004) 3D model retrieval. PhD Thesis, University of Leipzig, Germany
Wahl, E., Hillenbrand, U., & Hirzinger, G. (2003, October). Surflet-pair-relation histograms: a statistical 3D-shape representation for rapid classification. In: Proceedings. Fourth International Conference on 3-D Digital Imaging and Modeling. 3DIM 2003. IEEE, pp 474–481
Wu Y, Tian L, Li C (2013) High efficient methods of content-based 3D model retrieval. Chin J Mech Eng 26(2):248–256
Zaharescu A, Boyer E, Varanasi K, Horaud R (2009) Surface feature detection and description with applications to mesh matching. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp 373–380
Zhang C, Chen T (2001) Efficient feature extraction for 2D/3D objects in mesh representation. In: Proceedings. International Conference on Image Processing. IEEE, vol 3, pp 935–938
Zobel V, Reininghaus J, Hotz I (2011) Generalized heat kernel signatures
Acknowledgments
This work has been supported by National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2012BAD35B08), National Key Technology R&D Program of China (No.2012BAI06B01), Major Program of National Natural Science Foundation of China (No.61190122), and the Fundamental Research Funds for the Central Universities (XDJK2012C066). We would also like to thank the anonymous reviewers for providing valuable suggestions to improve this paper, and we would like to thank LiBo, Zhangkai-xing, Wu Yun-tao and Wang Hong-shen for resources and suggestions.
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Chen, Q., Fang, B., Yu, YM. et al. 3D CAD model retrieval based on the combination of features. Multimed Tools Appl 74, 4907–4925 (2015). https://doi.org/10.1007/s11042-013-1850-9
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DOI: https://doi.org/10.1007/s11042-013-1850-9