Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Object Recognition Using Stereo Vision and Higher Order Spectra

By: Cool, C.M.; Sridharan, S.; Nguyen, A.; Chandran, V.;

2005 / IEEE / 0-7695-2467-2


This item was taken from the IEEE Conference ' Object Recognition Using Stereo Vision and Higher Order Spectra ' This paper presents a novel technique to conduct correspondence-free stereo processing. Traditional stereo processing estimates structure through computationally expensive correspondence algorithms resulting in the generation of depth maps. If the purpose of estimating structure is to recognise objects, the depth maps (structural information) need to be further processed to produce features which can then be used for recognition. This paper outlines an alternative technique that bypasses the correspondence algorithms to combine the estimation of depth and feature extraction into one step. This is achieved through the application of Higher Order Spectra (HOS) analysis. Results are presented that demonstrate a Top 2 Rank identification rate of 80% for a small database of human faces.