A view-based 3D object shape representation technique

Authors:
Yasser Ebrahim;Maher Ahmed;Siu-Cheung Chau;Wegdan Abdelsalam
Affiliations:
Wilfrid Laurier University, Waterloo ON, Canada;Wilfrid Laurier University, Waterloo ON, Canada;Wilfrid Laurier University, Waterloo ON, Canada;University of Guelph, Guelph ON, Canada
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

Citing 12
Cited 1

Visual learning and recognition of 3-D objects from appearance

International Journal of Computer Vision
Detectability, Uniqueness, and Reliability of Eigen Windows for Stable Verification of Partially Occluded Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

International Journal of Computer Vision
Topology matching for fully automatic similarity estimation of 3D shapes

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Using shape distributions to compare solid models

Proceedings of the seventh ACM symposium on Solid modeling and applications
Shape distributions

ACM Transactions on Graphics (TOG)
Scale-space representation of 3D models and topological matching

SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Dynamic Appearance-Based Recognition

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Shape-Similarity Search of Three-Dimensional Models Using Parameterized Statistics

PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
A Reflective Symmetry Descriptor for 3D Models

Algorithmica
A Survey of Content Based 3D Shape Retrieval Methods

SMI '04 Proceedings of the Shape Modeling International 2004
The Amsterdam Library of Object Images

International Journal of Computer Vision

A Rotation-Invariant Approach to 2D Shape Representation Using the Hilbert Curve

ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a novel approach to 3D shape representation and matching utilizing a set of shape representations for 2D views of the object. The proposed technique capitalizes on the localizationpreserving nature of the Hilbert space filling curve and the approximation capabilities of the Wavelet transform. Each 2D view of the object is represented by a concise 1D representation that can be used to search an image database for a match. The shape of the 3D image is represented by the set of 1D representations of its 2D views. Experimental results, on a subset of the Amsterdam Library of Object Images (ALOI) dataset, are provided.