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?