3D Searching by ruchi
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This document discusses 3D searching and 3D search engines. It begins by introducing 3D searching as a method to search for 3D objects in a database based on a query. It then discusses the need for 3D search engines, the methodology which involves query formulation, search process, and search results. Examples of specific 3D search systems from Purdue and Princeton are provided. The advantages, limitations, and future prospects of 3D searching are outlined before concluding that 3D search engines can help find 3D models online, but their use is currently limited.
3D Searching by ruchi
- 1. GUIDED BY- Ms. SASMITA PANI PRESENTED BY- RUCHI RITAMBARA Roll No.- CS-10-19 Red No.-1001230057
- 2. CONTENTS INTRODUCTION NEED OF 3D SEARCHING METHODOLOGY EXAMPLES ADVANTAGES LIMITATIONS FUTURE PROSPECTUS CONCLUSION REFERENCS
- 3. INTRODUCTION 3D searching is a new method used to search 3D objects in a data house in the base of our submitted query. A search system which is capable of retrieving similar 3D models based on their shape is known as the 3Dsearch engine.
- 4. NEED FOR 3D SEARCH ENGINE • Consider a person who wants to build a 3D virtual world representing a city scene. He will need 3D models of cars, street lamps, stop signs etc. Will he buy a 3D modeling tool and build them himself? Or, will he acquire them from a large repository of 3D models on web? And obviously the answer is he will search in web for the model.
- 5. METHODOLOGY FOR 3D SEARCHING • Methodology used involves the following steps • Query formulation • Search process • Search result
- 6. QUERY FORMULATION • True 3D search systems offer two principal ways to formulate a query: 1- Users can select objects from a catalog of image based on product groupings, such as gears or sofas. 2- They can utilize a drawing program to create a picture of the object they are looking for. For example, Princeton’s 3D search engine uses an application to let users draw a 2D or 3D representation of the object they want to find.
- 7. When a client specify a query using any combination of keywords and sketches. Then, for each query, it returns a ranked set of images representing the 16 best matching 3D models. The user may retrieve any of the 3D models by clicking on its, and/or he may refine the search by editing the original input or by clicking on the “Find Similar Shape” link below it.
- 8. SEARCH PROCESS • The 3D-search system uses algorithms to convert the selected or drawn image- based query into a mathematical model called the voxel model by a process called voxelization that describes the features of the object being sought. • The model is then searched with those in the repository. If match is found then the object is returned.
- 9. Contd… Voxelization is the process of converting a representation of a 3D shape into a set of small volume elements (voxels) .
- 10. SEARCH RESULT • If the match of the 2D sketch or keyword is obtained then the 3D model of that is returned.
- 11. EXAMPLE OF SEARCH SYSTEM 1-3DESS • Scientists at the Purdue Research and Education Center for Information Systems in Engineering, led by Professor Karthik Ramani, created a 3D shape search technology called 3DESS (3D Engineering Search) . • The system can analyze a query by comparing either its feature-vector set shape representations with those stored in the database to find the ones that are most similar. • When the system retrieves models in response to a query, users can input which models more closely resemble the object they’re seeking.
- 12. 2-PRINCETON UNIVERSITY SEARCH SYSTEM • The Princeton search engine, like its Purdue counterpart, uses mathematical representations to store the salient characteristics of 3D shapes in its data- edges, and nodes. • The system can analyze a query by comparing either its feature-vector set potential obstacles. • Searchers can refine their queries by adding a text description.
- 13. ADVANTAGES • 3D searching is very effective in the search process of 3D objects. • It provides various searching process as well. • Query interface is a very useful term in the search process by which we can select any process for searching our model by various types of queries like text search.
- 14. LIMITATIONS • Better 2D image matching methods • New modeling tools
- 15. FUTURE PROSPECTUS • New query interfaces • New matching and indexing algorithms • New modeling tools • New applications
- 16. CONCLUSION • 3D search engine helps to have an idea of 3D model of any thing on web. • Most of today’s individual and corporate computer users don’t conduct the type of searches that would justify paying for and learning to use sophisticated 3D search engines . • However, within those markets, 3D search could prove useful and successful.
- 17. REFERENCES • http://www.princetonuniversity.edu • Global Journal of Computer Science and Technology,Volume-12 ,Issue-8 ,Version- 1.0,April 2012 • http://ieeexplore.ieee.org
- 18. NO(W) QUERIES?