Compositing for Small Cameras
To achieve a realistic integration of virtual and real imagery in video see-through augmented reality, the rendered images should have a similar appearance and quality to those captured by the video camera. This paper describes a compositing method which models the artefacts produced by a small low-...
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2008
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author | Klein, G Murray, D |
author_facet | Klein, G Murray, D |
author_sort | Klein, G |
collection | OXFORD |
description | To achieve a realistic integration of virtual and real imagery in video see-through augmented reality, the rendered images should have a similar appearance and quality to those captured by the video camera. This paper describes a compositing method which models the artefacts produced by a small low-cost camera, and adds these effects to an ideal pinhole image produced by conventional rendering methods. We attempt to model and simulate each step of the imaging process, including distortions, chromatic aberrations, blur, bayer masking, noise and colour-space compression, all while requiring only an RGBA image and an estimate of camera velocity as inputs. © 2008 IEEE. |
first_indexed | 2024-03-07T04:47:53Z |
format | Conference item |
id | oxford-uuid:d3eedacb-0902-4236-b923-8db991b28ce5 |
institution | University of Oxford |
last_indexed | 2024-03-07T04:47:53Z |
publishDate | 2008 |
record_format | dspace |
spelling | oxford-uuid:d3eedacb-0902-4236-b923-8db991b28ce52022-03-27T08:14:44ZCompositing for Small CamerasConference itemhttp://purl.org/coar/resource_type/c_5794uuid:d3eedacb-0902-4236-b923-8db991b28ce5Symplectic Elements at Oxford2008Klein, GMurray, DTo achieve a realistic integration of virtual and real imagery in video see-through augmented reality, the rendered images should have a similar appearance and quality to those captured by the video camera. This paper describes a compositing method which models the artefacts produced by a small low-cost camera, and adds these effects to an ideal pinhole image produced by conventional rendering methods. We attempt to model and simulate each step of the imaging process, including distortions, chromatic aberrations, blur, bayer masking, noise and colour-space compression, all while requiring only an RGBA image and an estimate of camera velocity as inputs. © 2008 IEEE. |
spellingShingle | Klein, G Murray, D Compositing for Small Cameras |
title | Compositing for Small Cameras |
title_full | Compositing for Small Cameras |
title_fullStr | Compositing for Small Cameras |
title_full_unstemmed | Compositing for Small Cameras |
title_short | Compositing for Small Cameras |
title_sort | compositing for small cameras |
work_keys_str_mv | AT kleing compositingforsmallcameras AT murrayd compositingforsmallcameras |