05-03-2011, 04:02 PM
Presented By:
NEHA DUBEY
[attachment=9624]
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.
NEHA DUBEY
[attachment=9624]
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.
