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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Veröffentlicht in:2008 7th IEEE International Symposium on Mixed and Augmented Reality S. 57 - 60
Hauptverfasser: Klein, Georg, Murray, David
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 15.09.2008
IEEE
Schriftenreihe:ACM Other Conferences
Schlagworte:
Cameras
Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition
Computing methodologies > Computer graphics > Graphics systems and interfaces > Virtual reality
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Graphics
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Mixed > augmented reality
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Virtual reality
Image color analysis
Image generation
Lenses
Noise
Pixel
ISBN:9781424428403, 1424428408
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:9781424428403
1424428408
DOI:10.1109/ISMAR.2008.4637324