Linear analysis of incidence structure: applications in non-rigid object recognition

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Linear analysis of incidence structure: applications in non-rigid object recognition

Experimental developments in object recognition systems are delivered through image analysis. In non-rigid object recognition, view-invariance is a limiting factor in algorithm development. For supervised learning and parametric training data sets, recognition often fails when the statistics of feat...

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Bibliographic Details
Main Author:	Wells, Nicholas
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2019
Subjects:	non-rigid object recognition; incidence geometry; linear signal processing techniques
Online Access:	https://eprints.nottingham.ac.uk/57192/

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