3D SEARCHING
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#1
07-11-2009, 04:10 PM


From computer-aided design (CAD) drawings of complex engineering parts to digital representations of proteins and complex molecules, an increasing amount of 3D information is making its way onto the Web and into corporate databases.

Because of this, users need ways to store, index, and search this information. Typical Web-searching approaches, such as Google's, can't do this. Even for 2D images, they generally search only the textual parts of a file, noted Greg Notess, editor of the online Search Engine Showdown newsletter.

However, researchers at universities such as Purdue and Princeton have begun developing search engines that can mine catalogs of 3D objects, such as airplane parts, by looking for physical, not textual, attributes. Users formulate a query by using a drawing application to sketch what they are looking for or by selecting a similar object from a catalog of images. The search engine then finds the items they want. The company must make it again, wasting valuable time and money.

3D SEARCHING

Advances in computing power combined with interactive modeling software, which lets users create images as queries for searches, have made 3Dsearch technology possible.

Methodology used involves the following steps

" Query formulation
" Search process
" Search result

QUERY FORMULATION

True 3D search systems offer two principal ways to formulate a query: Users can select objects from a catalog of images based on product groupings, such as gears or sofas; or they can utilize a drawing program to create a picture of the object they are looking for. or 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.

The above picture shows the query interface of a 3D search system.

SEARCH PROCESS

The 3D-search system uses algorithms to convert the selected or drawn image-based query into a mathematical model that describes the features of the object being sought. This converts drawings and objects into a form that computers can work with. The search system then compares the mathematical description of the drawn or selected object to those of 3D objects stored in a database, looking for similarities in the described features.

The key to the way computer programs look for 3D objects is the voxel (volume pixel). A voxel is a set of graphical data-such as position, color, and density-that defines the smallest cubeshaped building block of a 3D image. Computers can display 3D images only in two dimensions. To do this, 3D rendering software takes an object and slices it into 2D cross sections. The cross sections consist of pixels (picture elements), which are single points in a 2D image. To render the 3D image on a 2D screen, the computer determines how to display the 2D cross sections stacked on top of each other, using the applicable interpixel and interslice distances to position them properly. The computer interpolates data to fill in interslice gaps and create a solid image
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shravansofts
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#2
11-12-2009, 04:21 PM

GOOD INFO!
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ajukrishnan
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#3
11-12-2009, 09:44 PM

In this paper a novel method for 3D content-based search and retrieval is proposed. Weighted 3D Krawtchouk moments are introduced for efficient 3D analysis which are suitable for content-based search and retrieval applications.

Introduction
3D search finds application in gaming, modelling, manufacturing and molecular biology applications.
Previous proposals for 3D search:
-a fast query by example approach where the descriptors are properly chosen in order to follow the basic geometric criteria which humans usually use for the same purpose.
-a method based on shape histograms.
-based on Generalized Radon Transform(GRT).
-a web-based 3D search and retrieval system
-a visual similarity-based 3D model retrieval system.
The drawback of these methods is the loss of discriminative power.
Weighted 3D Krawtchouk
Given a 3D object as input, the Weighted 3D Krawtchouk moments are computed, which are then used as a descriptor vector. Thus a very compact description vector is made. The descriptor extraction is very fast and the matching process, one-to-all, for a single object in a medium size database can be completed in few seconds.The method is not invariant under geometrical transformation, thus for every query 3D model a preprocessingpose and position normalization step is required.

Seminar report download:

.pdf   3D Search.pdf (Size: 1.09 MB / Downloads: 1,713)
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computer science technology
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#4
31-01-2010, 01:51 PM

please read
ch.ic.ac.uk/ectoc/papers/guner/
doi.ieeecomputersociety10.1109/MC.2004.72
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#5
10-02-2010, 09:39 PM

An increasing amount of 3D information is making its way onto the Web and into corporate databases. Because of this, users need ways to store, index, and search this information. Typical Websearching approaches, such as Google's, can't do this. Even for 2D images, they generally search only the textual parts of a file, noted Greg Notess, editor of the online Search Engine Showdown newsletter. However, researchers at universities such as Purdue and Princeton have begun developing search engines that can mine catalogs of 3D objects, such as airplane parts, by looking for physical, not textual, attributes. Users formulate a query by using a drawing application to sketch what they are looking for or by selecting a similar object from a catalog of images. The search engine then finds the items they want. The company must make it again, wasting valuable time and money 3D SEARCHING Advances in computing power combined with interactive modeling software, which lets users create images as queries for searches, have made 3Dsearch technology possible. Methodology used involves the following steps " Query formulation " Search process " Search result QUERY FORMULATION True 3D search systems offer two principal ways to formulate a query: Users can select objects from a catalog of images based on product groupings, such as gears or sofas; or they can utilize a drawing program to create a picture of the object they are looking for. or 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. The above picture shows the query interface of a 3D search system. SEARCH PROCESS The 3D-search system uses algorithms to convert the selected or drawn image-based query into a mathematical model that describes the features of the object being sought. This converts drawings and objects into a form that computers can work with. The search system then compares the mathematical description of the drawn or selected object to those of 3D objects stored in a database, looking for similarities in the described features. The key to the way computer programs look for 3D objects is the voxel (volume pixel). A voxel is a set of graphical data-such as position, color, and density-that defines the smallest cubeshaped building block of a 3D image. Computers can display 3D images only in two dimensions. To do this, 3D rendering software takes an object and slices it into 2D cross sections. The cross sections consist of pixels (picture elements), which are single points in a 2D image. To render the 3D image on a 2D screen, the computer determines how to display the 2D cross sections stacked on top of each other, using the applicable interpixel and interslice distances to position them properly. The computer interpolates data to fill in interslice gaps and create a solid image.
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#6
22-03-2010, 11:09 PM


.doc   3D SEARCHING Technical Seminar.doc (Size: 84.5 KB / Downloads: 356)

3D Searching
A Technical Seminar synopsis submitted
By
Sneha .S Lokannavar
1GA06CS050

Department of Computer Science and Engineering
Global Academy of Technology,
Bangalore-560098 (INDIA)
Feb -May 2010

Abstract
Introduction
From computer-aided design (CAD) drawings of complex engineering parts to digital representations of proteins and complex molecules, an increasing amount of 3D information is making its way onto the Web and into corporate databases.
Because of this, users need ways to store, index, and search this information. Typical Web-searching approaches, such as Google's, can't do this. Even for 2D images, they generally search only the textual parts of a file, noted Greg Notess, editor of the online Search Engine Showdown newsletter.
However, researchers at universities such as Purdue and Princeton have begun developing search engines that can mine catalogs of 3D objects, such as airplane parts, by looking for physical, not textual, attributes. Users formulate a query by using a drawing application to sketch what they are looking for or by selecting a similar object from a catalog of images. The search engine then finds the items they want. The company must make it again, wasting valuable time and money.
3D searching: Advances in computing power combined with interactive modeling software, which lets users create images as queries for searches, have made 3Dsearch technology possible.
The 3D-search system uses algorithms to convert the selected or drawn image-based query into a mathematical model that describes the features of the object being sought. This converts drawings and objects into a form that computers can work with. The search system then compares the mathematical description of the drawn or selected object to those of 3D objects stored in a database, looking for similarities in the described features.
About Technology
¢ Computer-aided Design.
¢ 3D rendering software
Technical Issues
¢ It takes some getting to used to searching this way.
¢ It can also be a drain on your system resources, and can cause it to go much slower.
Applications
¢ The images are loaded in visual stacks so you can see 10 results, each in their own window, all in a nifty 3D card shuffle.
¢ The experience is richer visually, so shopping and browsing is not cumbersome anymore.
Conclusion
True 3D search systems offer two principal ways to formulate a query:
1. Users can select objects from a catalog of images based on product groupings, such as gears or sofas; or they can utilize a drawing program to create a picture of the object they are looking for.
2. Or use an application to let users draw a 2D or 3D representation of the object they want to find.
Bibliography/References
google.com
wikipedia.com
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naufamaheen
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#7
27-06-2010, 09:24 PM

i want full seminar and presentation report on 3d searching
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22-07-2010, 08:33 PM

Hi,
report document and pdf are attached alongwith the previous posts in this thread, Please download them and use them.
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#9
28-08-2010, 10:59 AM

please send me the advantages ,disadvantages/limitation, future scope,looking principle, abstract, introduction, & architecture of 3D searching
please send it soon
because of no matter in internet
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amit kumar dubey
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#10
19-09-2010, 12:28 AM


pl send me full report

pl send me report on this topic
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#11
19-09-2010, 12:40 AM

pl send me full seminar and presentation report on this
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seema1
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#12
17-02-2011, 10:28 PM

Hi people...
I am looking for informaton and if any software applications related to 3D searching.
Also i would require information on 1.query formulation 2. search process 3. search result.
Please convey me on my mail id sanketb89@gmail.com

thanks in advance..
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#13
21-02-2011, 08:00 PM

I want full ppt and seminar and presentation report on 3d searching
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23-02-2011, 10:02 AM


.doc   3D searching.doc (Size: 27.5 KB / Downloads: 78)
3D searching
Advances in computing power combined with interactive modeling software, which lets users create images as queries for searches, have made 3Dsearch technology possible.
Methodology used involves the following steps
1. Query formulation
2. Search process
3. Search result
1. QUERY FORMULATION
True 3D search systems offer two principal ways to formulate a query: Users can select objects from a catalog of images based on product groupings, such as gears or sofas; or they can utilize a drawing program to create a picture of the object they are looking for. or 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.
2.SEARCH PROCESS
The 3D-search system uses algorithms to convert the selected or drawn image-based query into a mathematical model that describes the features of the object being sought. This converts drawings and objects into a form that computers can work with. The search system then compares the mathematical description of the drawn or selected object to those of 3D objects stored in a database, looking for similarities in the described features.
The key to the way computer programs look for 3D objects is the voxel (volume pixel). A voxel is a set of graphical data-such as position, color, and density-that defines the smallest cubeshaped building block of a 3D image. Computers can display 3D images only in two dimensions. To do this, 3D rendering software takes an object and slices it into 2D cross sections. The cross sections consist of pixels (picture elements), which are single points in a 2D image. To render the 3D image on a 2D screen, the computer determines how to display the 2D cross sections stacked on top of each other, using the applicable interpixel and interslice distances to position them properly. The computer interpolates data to fill in interslice gaps and create a solid image.
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#15
05-03-2011, 04:02 PM

Presented By:
NEHA DUBEY


.docx   with_1.5_left_aligemant.docx (Size: 2.61 MB / Downloads: 98)
As above shown that Google is a search engine which provides the search result on the basis of a text query. “Wikipedia” is written in the text box as a search topic of which the information is required.
Search engine provides the result according to the query which is fired. and as in Google if we want to select any kind of image then the Google image search engine provides the image search result. When any query is fired or the topic which we want to search is written in the text box then the search results related to that topic will be displayed.
Bt sometimes text based search engine could not provide the results which are needed, mainly in image search the result does not match with the image what we are searching, so an another process is introduced by which the image can be searched on the basis on a 2d shape or a 3d shape which is known as 3d searching.
4. 3D Model Search engines
As the number of 3D models available on the Web grows, there is an increasing need for a search engine to help people and find them. Unfortunately, traditional text-based search techniques are not always effective for 3D data. In this, we investigate new shape-based search methods. The key challenges are to develop query methods simple enough for novice users and matching algorithms robust enough to work for arbitrary polygonal models. We present a web-based search engine system that supports queries based on 3D sketches, 2D sketches, 3D models, and/or text keywords. For the shape-based queries, we have developed a new matching algorithm that uses spherical harmonics to compute discriminating similarity measures without requiring repair of model degeneracies or alignment of orientations.
Many web sites allow users to find 3D models. Examples are online repository sites, such as 3D Cafe and Avalon, or 3D modeling company sites, such as Cache force and Viewpoint. Other sites, such as CadLib and Mesh-Nose, index multiple 3D model collections. These sites can be classified according to the ways available to the user for searching the database.
5. QUERY INTERFACE IN 3D SEARCHING
Every searching process is based on some input queries which may be in different – different forms like in may be in textual form, 2D and 3D image form.
Searching focuses on query interfaces for our 3D model search engine, and their corresponding model/query representations and matching methods. 3D models typically contain textual, appearance (color, texture) and shape information, which can all be queried. We investigated query interfaces based on text keywords, 3D shape, 2D freeform sketches, and 2D structural input (i.e. sets of parts), and their associated matching methods. We now describe each query interface in more detail, which can also be known as types of 3d searching-
6. TYPES OF 3D SEARCHING
6.1 SEARCHING BY TEXT ONLY:

Other sites index 3D models using only text. Examples are CADlib, Mesh-Nose, and the National Design Repository, which index multiple 3D model collections. CADlib indexes a description, filename, id number, etc., of each CAD model. Mesh Nose simply indexes text that was found on the web pages of several 3D model repository sites. The National Design Repository allows searches by text keyword (querying the part name or filename), and by file type and size, or by browsing through directories.
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