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The general pinhole camera: effective and efficient nonuniform sampling for visualization
- Source :
- IEEE transactions on visualization and computer graphics. 16(5)
- Publication Year :
- 2010
-
Abstract
- We introduce the general pinhole camera (GPC), defined by a center of projection (i.e., the pinhole), an image plane, and a set of sampling locations in the image plane. We demonstrate the advantages of the GPC in the contexts of remote visualization, focus-plus-context visualization, and extreme antialiasing, which benefit from the GPC sampling flexibility. For remote visualization, we describe a GPC that allows zooming-in at the client without the need for transferring additional data from the server. For focus-plus-context visualization, we describe a GPC with multiple regions of interest with sampling rate continuity to the surrounding areas. For extreme antialiasing, we describe a GPC variant that allows supersampling locally with a very high number of color samples per output pixel (e.g., 1,024{\times}), supersampling levels that are out of reach for conventional approaches that supersample the entire image. The GPC supports many types of data, including surface geometry, volumetric, and image data, as well as many rendering modes, including highly view-dependent effects such as volume rendering. Finally, GPC visualization is efficient-GPC images are rendered and resampled with the help of graphics hardware at interactive rates.
- Subjects :
- Computer science
Graphics hardware
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
Rendering (computer graphics)
law.invention
Data visualization
law
Computer graphics (images)
Computer vision
Surface geometry
Image sensor
Graphics
Interactive visualization
ComputingMethodologies_COMPUTERGRAPHICS
Pixel
business.industry
Supersampling
Volume rendering
Image plane
Computer Graphics and Computer-Aided Design
Visualization
Signal Processing
Pinhole camera
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
Subjects
Details
- ISSN :
- 10772626
- Volume :
- 16
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....d4cf11565b7e65d66dbc70517ac79af2