Wavelet Compressed PCA Models for Real-Time Image Registration in Augmented Reality Applications

Abstract

 The use of augmented reality (AR) has shown great promise in enhancing medical training and diagnostics via interactive simulations. This paper presents a novel method to perform accurate and inexpensive image registration (IR) utilizing a pre-constructed database of reference objects in conjunction with a principal component analysis (PCA) model. In addition, a wavelet compression algorithm is utilized to enhance the speed of the registration process. The proposed method is used to perform registration of a virtual 3D heart model based on tracking of an asymmetric reference object. The results indicate that the accuracy of the method is dependent upon the extent of asymmetry of the reference object which required inclusion of higher order principal components in the model. A key advantage of the presented IR technique is the absence of a restart mechanism required by the existing approaches while allowing up to six orders of magnitude compression of the modeled image space. The results demonstrate that the method is computationally inexpensive and thus suitable for real-time augmented reality implementation.

Authors and Affiliations

Christopher Cooper, Kent Wise, John Cooper, Makarand Deo

Keywords

Related Articles

Genetic Algorithm Utilizing Image Clustering with Merge and Split Processes Which Allows Minimizing Fisher Distance Between Clusters

Genetic algorithm utilizing image clustering with merge and split processes which allows minimizing Fisher distance between clusters is proposed. Through experiments with simulation and real remote sensing satellite imag...

 New concepts of fuzzy planar graphs

 Fuzzy planar graph is an important subclass of fuzzy graph. Fuzzy planar graphs and its several properties are presented. A very close association of fuzzy planar graph is fuzzy dual graph. This is also defined and...

 Vicarious Calibration Data Screening Method Based on Variance of Surface Reflectance and Atmospheric Optical Depth Together with Cross Calibration

 Vicarious calibration data screening method based on the measured atmospheric optical depth and the variance of the measured surface reflectance at the test sites is proposed. Reliability of the various calibration...

 Mobile Device Based Personalized Equalizer for Improving Hearing Capability of Human Voices in Particular for Elderly Persons

 Mobile device based personalized equalizer for improving the hearing capability of human voices in particular for elderly persons are proposed. Through experiments, it is found that the proposed equalizer does work...

 Fuzzy Soft Sets Supporting Multi-Criteria Decision Processes

 Students experience various types of difficulties when it comes to examinations, where some of them are subject related while others are more of a psychological character. A number of factors influencing academic s...

Download PDF file
  • EP ID EP111552
  • DOI 10.14569/IJARAI.2015.040801
  • Views 122
  • Downloads 0

How To Cite

Christopher Cooper, Kent Wise, John Cooper, Makarand Deo (2015).  Wavelet Compressed PCA Models for Real-Time Image Registration in Augmented Reality Applications. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(8), 1-10. https://europub.co.uk./articles/-A-111552