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A 3D Model Retrieval System Based On The Cylindrical Projection Descriptor

5. ACKNOWLEDGEMENT

This research was supported in part by the National Science Council, R.O.C. under Contract NSC 98-2221-E-216-039.

Table 1. Comparison of the proposed and other descriptors on the PSB database in terms of the recall value(%) and DCG(%). NL denotes the number of retrieval models.

Method Re

(NL=Ti)

Re

(NL=4Ti) DCG

RDD 41.71 62.05 71.60

CPD 36.91 55.59 67.59

RDD+CPD Sim1 43.53 62.27 72.05 Sim2 42.75 61.75 71.15

ED[22] 35.48 56.03 67.04

AED [24] 38.61 60.29 70.29

DED[22] 36.19 55.87 66.92

CED[22] 37.32 57.80 68.04

PPD [12] 34.23 55.35 65.86

SH [3] 27.06 41.02 58.35

SSD [5] 15.87 26.64 48.07

GD2 [7] 28.30 47.61 60.91

Table 2. Comparison of the proposed method and other descriptors on the PSB database in terms of DCG(%).

(Note that the approaches marked with * are implemented by Akgul et al. and originally appeared in [28])

Method DCG Method DCG

RDD+CPD Sim1 72.05 DSR [27]* 66.50

EGI [25] 43.80 DBF [28] 65.90

CRSF [17] 66.80 DSR+DBF [28] 70.20

LF [9] 64.30 SWD [29]* 65.40

SH-GEDT [26] 58.40 SIL [27]* 59.70 DBI [27]* 66.30 3DHT [30]* 57.70 RISH [11]* 58.40 CAH [31]* 43.30 SHIST [13]* 54.50 REXT [32]* 60.10 AVC [33] 60.20 6. REFERENCES

[1] J.W.H. Tangelder and R.C. Veltkamp, “A survey of content based 3D shape retrieval methods”, Shape Modeling Applications, pp. 145-156, 2004.

[2] D.V. Vranic, D. Saupe, and J. Richter, “Tools for 3D-object retrieval: Karhunen- Loeve transform and spherical harmonics”, Proceedings of IEEE Workshop on Multimedia Signal Processing, pp.

293-298, 2001.

[3] T. Funkhouser, P. Min, M. Kazhdan, J. Chen, A.

Halderman, D. Dobkin, and D. Jacobs, “A search engine for 3D models”, ACM Trans, Graphics 22, pp. 83-105, 2003.

[4] R. Osada, T. Funkhouser, B. Chazelle, and D.

Dobkin, “Shape Distributions”, ACM Trans. on Graphics, pp. 807-832, 2002.

[5] S. Manjunath, P. Salembier, and T. Sikora,

“Introduction to MPEG-7 Multimedia Content Descriptor Interface”, John Wiley & Sons Ltd., 2002.

[6] M. Ankerst, G. Kastenmuller, H.P. Kriegel, and T.

Seidl, “3D shape histograms for similarity search and classification in spatial databases”, Proceedings of 6th International Symposium on Spatial Databases (SSD‟99), pp. 207-226, 1999.

[7] J.L. Shih, C.H. Lee, and J.T. Wang, “3D Object Retrieval System Based on Grid D2”, Electronics Letters, pp. 23-24, 2005.

[8] B.J. Super and H. Lu, “Evaluation of a hypothesizer for silhouette-based 3-D object recognition”, Pattern Recognition, pp. 69-78, 2003.

[9] D.Y. Chen, X.P. Tian, Y.T. Shen, and M.

Ouhyoung, “On visual similarity based 3D model retrieval”, Computer Graphics Forum, pp. 223-232, 2003.

[10] J.L. Shih, C.H. Lee, and J.T. Wang, “A New 3D Model Retrieval Approach Based on Elevation

Descriptor”, Pattern Recognition, pp. 283-295, 2007.

[11] C.T. Kuo and S.C. Cheng, “3D model retrieval using principal plane analysis and dynamic programming”, Pattern Recognition, pp. 742-755, 2007.

[12] J.L. Shih and W.C. Wang, “A 3D Model Retrieval Approach based on The Principal Plane Descriptor”, Proceedings of The Second International Conference on Innovative Computing, Information and Control (ICICIC), pp. 59-62, 2007.

[13] M. Ankerst, G. Kastenmuller, H.P. Kriegel, and T.

Seidl, “3D shape histograms for similarity search and classification in spatial databases”, Proceedings of 6th International Symposium on Spatial Databases (SSD‟99), pp. 207-226, 1999.

[14] J. Ricard, D. Coeurjolly and A. Baskurt,

“Generalizations of angular radial transform for 2D and 3D shape retrieval”, Pattern Recognition Letters, pp. 2174-2186, 2005.

[15] MPEG Video Group, “MPEG-7 Visual part of experimentation Model Version 9.0“, 2001.

[16] A. Mademlis, P. Daras, A. Axenopoulos, D.

Tzovaras, and M. G. Strintzis, “Combining Topological and Geometrical Features for Global and Partial 3D Shape Retrieval”, IEEE Tran. on Multimedia, pp. 819-831, 2008.

[17] Panagiotis Papadakisa, Ioannis Pratikakisa, Stavros Perantonisa, Theoharis Theoharis, “Efficient 3D shape matching and retrieval using a concrete radialized spherical projection representation”, Pattern Recognition, pp. 2437-2452, 2007.

[18] D. V. Vranic and D. Saupe, “3D Model Retrieval”, Proceedings of the Spring Conference on Computer Graphics and its Applications (SCCG2000), pp. 89-93, 2000.

[19] Dimitrios Zarpalas, Petros Daras, Apostolos Axenopoulos, Dimitrios Tzovaras, and Michael G.

Strintzis, “3D Model Search and Retrieval Using the Spherical Trace Transform,” EURASIP Journal on Advances in Signal Processing, 2007.

[20] Mohamed Chaouch, Anne Verroust-Blondet, “ A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval”, IEEE International Conference on Image Processing, pp. 373-376, 2007.

[21] J.L. Shih, C.H. Lee and C.H Chuang, “A 3D Model Retrieval System Based On The Derivative Radial Distance”, Proceedings of The 22th IPPR Conference On Computer Vision, Graphics and Image Processing (CVGIP) 2009.

[22] J.L. Shih, T.Y Huang, and Y.C. Wang, “A 3D Model Retrieval System Using the Derivative Elevation and 3D-ART”, Proceedings of the IEEE Asia-Pacific Services Computing Conference, (APSCC), pp. 739-744, 2008.

[23] P. Shilane, P. Min, M. Kazhdan, T. Funkhouser,

“The Princeton shape benchmark”, Proceedings of Shape Modeling Applications, pp. 167-178, 2004.

[24] J. L. Shih and H. Y. Chen, “A 3D model retrieval approach using the interior and exterior 3D shape information”, Multimedia Tools Applicaion., vol.

43, no. 1, pp. 45-62, May 2009.

[25] B. K. P. Horn, “Extended Gaussian images”, in Proceedings of IEEE, vol. 72, no. 12, pp.

1671-1686, Dec. 1984.

[26] M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz,

“Rotation invariant spherical harmonic representation of 3D shape descriptors”, in Proceedings of Eurographics/ACM SIGGRAPH Symposium on Geometry processing, pp. 156-164, 2003.

[27] D. V. Vranic, “3D model retrieval”, Ph.D.

Dissertation, University of Leipzig, Department of Computer Science, 2004.

[28] C. B. Akgul, B. Sankur, Y. Yemez, and F. Schmitt,

“3D model retrieval using probability density-based shape descriptors”, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 31, no. 6, pp. 1117-1133, June, 2009.

[29] H. Laga, H. Takahashi, and M. Nakajima,

“Spherical wavelet descriptors for content-based 3D model retrieval,” in Proceedings of IEEE International Conference on Shape Modeling and Application (SMI„06), 2006.

[30] T. Zaharia and F. J. Preteux, “Shape-based retrieval of 3D mesh models”, in Proceedings of the IEEE International Conference on Multimedia and Expo, vol. 1, pp. 437-440, 2002.

[31] E. Paquet and M. Rioux, “Nefertiti: A Query by Content Software for Three-Dimensional Models Databases Management”, in Proceedings of International Conference on Recent Advances in 3D Digital Imaging and Modeling, pp. 345-352, 1997.

[32] D. V. Vranic, “An Improvement of Rotation Invariant 3D Shape Descriptor Based on Functions on Concentric Spheres”, in Proceedings of IEEE International Conference on Image Processing, pp.

757-760, Sept. 2003.

[33] T. F. Ansary, M. Daoudi, and J.-P.

Vandeborre, ”3D Model Retrieval Based on Adaptive Views Clustering”, LNCS 3687, pp.

473–483, 2005.

[34] M. Jovic, Y. Hatakeyana, F. Dong, and K. Hirota,

“Image Retrieval Based on Similarity Score Fusion from Feature Similarity Ranking Lists”, LNAI 4223, pp. 461-470, 2006.

國科會補助計畫衍生研發成果推廣資料表

日期:2011/10/28

國科會補助計畫

計畫名稱: 整合三維頻率特徵及相關與非相關模型之自動選擇機制於3D模型檢索系統 計畫主持人: 石昭玲

計畫編號: 99-2221-E-216-045- 學門領域: 圖形辨識

無研發成果推廣資料

99 年度專題研究計畫研究成果彙整表

計畫主持人:石昭玲 計畫編號:99-2221-E-216-045-

計畫名稱:整合三維頻率特徵及相關與非相關模型之自動選擇機制於 3D 模型檢索系統 量化

成果項目 實際已達成

數(被接受 或已發表)

預期總達成 數(含實際已

達成數)

本計畫實 際貢獻百

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備 註 ( 質 化 說 明:如 數 個 計 畫 共 同 成 果、成 果 列 為 該 期 刊 之 封 面 故 事 ...

等)

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技術移轉

權利金 0 0 100% 千元

碩士生 3 3 100%

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參與計畫人力

(本國籍)

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(外國籍)

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其他成果 (無法以量化表達之成 果如辦理學術活動、獲 得獎項、重要國際合 作、研究成果國際影響 力及其他協助產業技 術發展之具體效益事 項等,請以文字敘述填 列。)

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