Projects per year
Abstract
The first hybrid CPU-GPU based method for estimating a point light source position in a scene recorded by an RGB-D camera is presented. The image and depth information from the Kinect is enough to estimate a light position in a scene, which allows for the rendering of synthetic objects into a scene that appears realistic enough for augmented reality purposes. This method does not require a light probe or other physical device. To make this method suitable for augmented reality, we developed a hybrid implementation that performs light estimation in under 1 second. This is sufficient for most augmented reality scenarios because both the position of the light source and the position of the Kinect are typically fixed. The method is able to estimate the angle of the light source with an average error of 20°. By rendering synthetic objects into the recorded scene, we illustrate that this accuracy is good enough for the rendered objects to look realistic.
| Original language | English |
|---|---|
| Article number | e1686 |
| Number of pages | 16 |
| Journal | Computer Animation and Virtual Worlds |
| Volume | 28 |
| Issue number | 1 |
| Early online date | 8 Dec 2015 |
| DOIs | |
| Publication status | Published - Jan 2017 |
Keywords / Materials (for Non-textual outputs)
- light source estimation, augmented reality, GPU implementation, RGB-D camera
Fingerprint
Dive into the research topics of 'Interactive light source position estimation for augmented reality with an RGB-D camera'. Together they form a unique fingerprint.Projects
- 3 Finished
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Fish4Knowledge: Fish4Knowledge: Supporting humans in knowledge gathering and question answering wrt marine and environmental monitoring through analysis of multiple video streams
Fisher, B. (Principal Investigator) & Chen-Burger, J. (Co-investigator)
1/10/10 → 30/09/13
Project: Research
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Fish4Knowledge: Fish4Knowledge: Supporting humans in knowledge gathering and question answering wrt marine and environmental monitoring through analysis of multiple video streams
Fisher, B. (Principal Investigator) & Chen-Burger, J. (Co-investigator)
1/10/10 → 30/09/13
Project: Research
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Topology-based Motion Synthesis
Komura, T. (Principal Investigator), Ramamoorthy, R. (Co-investigator) & Vijayakumar, S. (Co-investigator)
30/09/10 → 28/02/14
Project: Research
Profiles
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Bob Fisher
- School of Informatics - Chair in Computer Vision
- Institute of Perception, Action and Behaviour
- Language, Interaction, and Robotics
Person: Academic: Research Active