A Content-Based Search Engine for VRML Databases

Authors:
E. Paquet;M. Rioux
Affiliations:
-;-
Venue:
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Year:
1998

Citing 2
Cited 9

Efficient and effective querying by image content

Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Query by Visual Example - Content based Image Retrieval

EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology

3D Object Retrieval by Shape Similarity

DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Content based retrieval of VRML objects: an iterative and interactive approach

Proceedings of the sixth Eurographics workshop on Multimedia 2001
3D zernike descriptors for content based shape retrieval

SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Structured knowledge representation for image retrieval

Journal of Artificial Intelligence Research
The caesar project: a 3-D surface anthropometry survey

3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
3D polar-radius invariant moments and structure moment invariants

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Retrieving 3d CAD model with regional entropy distributions

ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
A similarity computing algorithm for volumetric data sets

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Invariant feature extraction for 3D model retrieval: An adaptive approach using Euclidean and topological metrics

Computers & Mathematics with Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new approach for the classification and retrieval of three-dimensional images and models from databases. A set of retrieval algorithms is introduced. These algorithms are content-based, meaning that the input is not made out of keywords but of three-dimensional models. Tensor of inertia, distribution of normals and distribution of cords are used to describe each model. The database can be searched by scale, shape or color or any combination of these parameters. A user friendly interface makes the retrieval operation simple and intuitive and allows to edit reference models according to the specifications of the user. Experimental results using a database of more than 400 range images and 1000 VRML models are presented.