CFP last date
20 December 2024
Reseach Article

“Voxelization” in 3D Searching- A Study

by Tanuja Subba, Ashis Pradhan, Prerna Rai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 9
Year of Publication: 2015
Authors: Tanuja Subba, Ashis Pradhan, Prerna Rai
10.5120/ijca2015907547

Tanuja Subba, Ashis Pradhan, Prerna Rai . “Voxelization” in 3D Searching- A Study. International Journal of Computer Applications. 132, 9 ( December 2015), 37-40. DOI=10.5120/ijca2015907547

@article{ 10.5120/ijca2015907547,
author = { Tanuja Subba, Ashis Pradhan, Prerna Rai },
title = { “Voxelization” in 3D Searching- A Study },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 9 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number9/23625-2015907547/ },
doi = { 10.5120/ijca2015907547 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:56.284647+05:30
%A Tanuja Subba
%A Ashis Pradhan
%A Prerna Rai
%T “Voxelization” in 3D Searching- A Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 9
%P 37-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recycling of engineering design is increasing exponentially in order to reduce the conceptual designing phase time due to rapid increase in technology. This leads to increase in frequent retrieval of the 3D models through web searching mechanism. So, it becomes a necessary challenge to design a 3D search engine which can search 3D models accurately as well as efficiently. The 3D searching is a technique developed to help the web users for extracting 3D models like complex engineering parts, various purpose graphical models, etc. The search engine takes input in the form of queries like text, 2D sketches, 3D sketches, 3Dmodel, 2Dmodel etc. When input queries is matched with the existing model in the database or similar model that are present in the database, the best multiple result is provided to user. This paper describes the basics of query by sketch which takes input by sketching manually with the aid of user interface. This input is normalized and further processed by Voxelization, Skeltonization and create Skeletal graph which is then mapped to database to extract best possible match. However, the main focus of this paper is to discuss the process of Voxelization method in very simple steps, as it plays a very important aspect in 3D searching.

References
  1. Cybenko, G., Bhasin, A., and Cohen, k.,(1997),” “Pattern Recognition of 3D CAD Objects”, Smart Engineerinf System Design, Vol 1,pp.1-13.
  2. Kazhdan., M., Chazelle, B,., Dobkin, d., Finkelstein, A., and Funkhouser, T., (2002), “A Reflrctive Symmetry Descriptor”, Proceedinfs of 7th European Conference on Computer Vision, Copenhagen, Denmark, pp. 642-656
  3. Cyr, C.M., and Kimia, B., (2001), “3D Object Recognition Using Shape Similarity Based Aspect Graph”, Proceedings of ICCV’01, pp.254-261
  4. Ruiz-Correa, S., Shapiro, L. and Meila, M.,(2000). “A New Signature Based Method For Efficient 3D Object Recognition”, Proceedings of VPR’00, S
  5. Lamdam, Y. and Wolfson, H.J., (1988), “Geometric Hashing: A General And Efficient Model Based Recognition Scheme”, Proceedings of ICCV’88
  6. El-Mehalawi, M., and Miller, R., (2003), “ A database system of mechanical components based on geometric and topological similarity. Part I: representation and Part II: indexing, retrieval, matching, and similarity assessment”, Computer Aided Design, Vol. 35, pp. 83-94
  7. Sun, T-L., Su, C-J., Mayer, R., and Wysk, R,. (1995), “ Shape Similatity Assesment Of Mechanical parts based on solid models” Proceedings of ASME DFM Conference, Boston, MA, pp. 953-962
  8. Hilaga, M., Shinagawa, Y., Kohmura, T., and Kunni, T., (2001), “Topology matching for fully automatic similarity estimation of 3D shapes”, Proceedings of SIGGRAPH’01, pp. 203-212
  9. Ramesh . M., Yip-Hoi, D., Dutta, D., (2001), “Feature Based Shape Similarity Measurement For Retrieval Of Mechanical Parts”, Vol. 1, pp. 245-256
  10. Ascher, M., Marefat, M, and Fasse, E,(2001), “A methodology for automatic retrieval of similarly shaped machinable components”, IEEE Interanational Conference on Systems, Man, and Cybernetics, Vol. 2, pp. 2840-2845
  11. Pranav Agrawal, “3D Searching”, Global Journals inc.(USA) 0975-4172 and Print ISSN: 0975-4350
  12. Natraj Iyer, Kuiyang Lou, Subramaniam Jayanti ,et. al., “Early Results from 3DESS: A 3D Engineering Shape Search System”, School of Mechanical Engineering, Purdue University West Lafayette IN 47906, USA
  13. XuHaili, Wang Heng, Zhu Longbiao and HuaGuoran, “ Reading and voxelization of 3D models”,School of Mechanical Engineering, Nantong University, Nantong, Jiangsu, China.
  14. Natraj Iyer, Yagnanarayanan Kalyanaraman, et.al., “A Reconfigurable 3D Engineering Shape Search System”, Proceedings of ASME DETC' 03, 23rd Computers and Information in engineering (CIE) Conference, September 2-6, 2003, Chicago, Illinois.
  15. Suyu Hou, Karthik Ramani “Dynamic Query Interface For 3D Shape Search Proceedings of ASME IDETC/CIE 2004, Salt Lake City, UT, USA.
Index Terms

Computer Science
Information Sciences

Keywords

3D models Text keywords 2D image 3D image