Back to Search
Start Over
Visual Perception of Real World Depth Map Resolution for Mixed Reality Rendering
- Source :
- VR
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Compositing virtual objects into photographs with known real world geometry is a common task in mixed reality (MR) applications. This geometry enables rendering of global illumination effects, such as mutual lighting, shadowing, and occlusions between the background photograph and virtual objects. Obtaining high fidelity geometric representations of the real world can be a costly procedure, and is often approximated with depth data. However, it is not clear how much fidelity the depth data should have in order to maintain high visual quality in MR rendering. in this paper, we investigate the relationship between real world depth fidelity and visual quality in MR rendering. We do this by conducting a series of user experiments that measure how seamlessly virtual objects are blended with the background under varying depth resolutions. We independently evaluate the noticeability of multiple composition artifacts that occur with approximate depth. Perceptual thresholds in depth resolution are then obtained for each artifact. The findings can be used to inform trade-off decisions for optimising depth acquisition pipelines in MR applications.
- Subjects :
- Visual perception
Computer science
business.industry
Global illumination
media_common.quotation_subject
Fidelity
020207 software engineering
02 engineering and technology
Virtual reality
Mixed reality
Rendering (computer graphics)
Visualization
Depth map
Compositing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Image resolution
ComputingMethodologies_COMPUTERGRAPHICS
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
- Accession number :
- edsair.doi...........7d05ad30ccb2f85fad49391428f74efe
- Full Text :
- https://doi.org/10.1109/vr.2018.8446391