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.

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?