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Tags: 3D SEARCHING, 3d searching abstract, 3d searching ppt, 3d searching pdf, 3d searching ppt download, 3d searching seminar, 3d searching seminar report, 3d searching report, 3d searching technology, 3d searching wikipedia,
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07-11-2009, 04:10 PM
Post: #1
3D SEARCHING
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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11-12-2009, 04:21 PM
Post: #2
RE: 3D SEARCHING
GOOD INFO!

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11-12-2009, 09:44 PM
Post: #3
RE: 3D SEARCHING
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: 1728)

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31-01-2010, 01:51 PM
Post: #4
RE: 3D SEARCHING
please read
http://www.ch.ic.ac.uk/ectoc/papers/guner/
http://doi.ieeecomputersociety.org/10.1109/MC.2004.72

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10-02-2010, 09:39 PM
Post: #5
RE: 3D SEARCHING
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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