Towards object recognition using HDR video, stereoscopic depth information and SIFT

Michael May, Tim Morris, Keith Markham, William J. Crowther, Martin J. Turner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose a framework that will recognise objects from a moving platform using scale invariant features, high dynamic range (HDR) video and stereoscopic depth information. The paper focuses on initial work involving feature extraction from HDR images using SIFT. Initial results show an increase in the number of features extracted from HDR images compared to conventional, low dynamic range (LDR), images. © The Eurographics Association 2009.
Original languageEnglish
Title of host publicationTheory and Practice of Computer Graphics 2009, TPCG 2009 - Eurographics UK Chapter Proceedings|Theory Pract. Comput. Graph., TPCG - Eurographics UK Chapter Proc.
Pages165-168
Number of pages3
DOIs
Publication statusPublished - 2009
Event7th Theory and Practice of Computer Graphics Conference, TPCG 2009 - Cardiff
Duration: 1 Jul 2009 → …

Conference

Conference7th Theory and Practice of Computer Graphics Conference, TPCG 2009
CityCardiff
Period1/07/09 → …

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