3D Face Compression and Recognition using Spherical Wavelet Parametrization
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 9
Abstract
In this research an innovative fully automated 3D face compression and recognition system is presented. Several novelties are introduced to make the system performance robust and efficient. These novelties include: First, an automatic pose correction and normalization process by using curvature analysis for nose tip detection and iterative closest point (ICP) image registration. Second, the use of spherical based wavelet coefficients for efficient representation of the 3D face. The spherical wavelet transformation is used to decompose the face image into multi-resolution sub images characterizing the underlying functions in a local fashion in both spacial and frequency domains. Two representation features based on spherical wavelet parameterization of the face image were proposed for the 3D face compression and recognition. Principle component analysis (PCA) is used to project to a low resolution sub-band. To evaluate the performance of the proposed approach, experiments were performed on the GAVAB face database. Experimental results show that the spherical wavelet coefficients yield excellent compression capabilities with minimal set of features. Haar wavelet coefficients extracted from the face geometry image was found to generate good recognition results that outperform other methods working on the GAVAB database.
Authors and Affiliations
Rabab Ramadan, Rehab Abdel-Kader
Keywords
Related Articles
- EP ID EP130192
- DOI -
- Views 125
- Downloads 0
Diversity-Based Boosting Algorithm
Boosting is a well known and efficient technique for constructing a classifier ensemble. An ensemble is built incrementally by altering the distribution of training data set and forcing learners to focus on misclassifica...
On Some Methods for Dimensionality Reduction of ECG Signals
Dimensionality reduction with two methods, namely, Laplacian Eigenmap (LE) and Locality Preserving Projections (LPP) is studied for normal and pathological noisy and noiseless ECG patterns. Besides, the possibility of us...
Contextual Modelling of Collaboration System
Faced with new environmental constraints, firms decide to collaborate in collective entities and adopt new patterns of behavior. So, this firms’ collaboration becomes an unavoidable approach. Indeed, our aim intere...
Algorithm to Match Ontologies on the Semantic Web
It has been recognized that semantic data and knowledge extraction will significantly improve the capability of natural language interfaces to the semantic search engine. Semantic Web technology offers a vast scale of sh...
Need and Role of Scala Implementations in Bioinformatics
Next Generation Sequencing has resulted in the generation of large number of omics data at a faster speed that was not possible before. This data is only useful if it can be stored and analyzed at the same speed. Big Dat...