Spherical harmonics and distance transform for image representation and retrieval

Authors:
Atul Sajjanhar;Guojun Lu;Dengsheng Zhang;Jingyu Hou;Yi-Ping Phoebe Chen
Affiliations:
School of Information Technology, Deakin University, Burwood, VIC, Australia;Gippsland School of Information Technology, Monash University, Churchill, VIC, Australia;Gippsland School of Information Technology, Monash University, Churchill, VIC, Australia;School of Information Technology, Deakin University, Burwood, VIC, Australia;School of Information Technology, Deakin University, Burwood, VIC, Australia
Venue:
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Year:
2009

Citing 10
Cited 2

Distance transformations in digital images

Computer Vision, Graphics, and Image Processing
Distance transforms: properties and machine vision applications

CVGIP: Graphical Models and Image Processing
Distance transformation and skeleton for shape feature analysis

IAPR Proceedings of the international workshop on Visual form: analysis and recognition
Regular Article: Computing Fourier Transforms and Convolutions on the 2-Sphere

Advances in Applied Mathematics
Salience distance transforms

Graphical Models and Image Processing
Linear Time Euclidean Distance Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation invariant spherical harmonic representation of 3D shape descriptors

Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
A Linear Bound on the Complexity of the Delaunay Triangulation of Points on Polyhedral Surfaces

Discrete & Computational Geometry
Shape representations and algorithms for three-dimensional model retrieval

Shape representations and algorithms for three-dimensional model retrieval
On visual similarity based 2D drawing retrieval

Computer-Aided Design

Spectral shape descriptor using spherical harmonics

Integrated Computer-Aided Engineering
Improvement of the disc harmonic moments descriptor by an exponentially decaying distance transform

SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we have proposed a method for 2D image retrieval based on object shapes. The method relies on transforming the 2D images into 3D space based on distance transform. Spherical harmonics are obtained for the 3D data and used as descriptors for the underlying 2D images. The proposed method is compared against two existing methods which use spherical harmonics for shape based retrieval of images. MPEG-7 Still Images Content Set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the performance of the proposed descriptors is significantly better than other methods in the same category.