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A graphics and vision unified processor with 0.89µW/fps pose estimation engine for augmented reality
- Source :
- ISSCC
- Publication Year :
- 2010
- Publisher :
- IEEE, 2010.
-
Abstract
- In many ways, 3D graphics and vision processing are inverse operations. Graphics processing generates pixels from descriptors, while vision generates descriptors from pixels [1]. Since augmented reality (AR) requires both graphics and vision abilities (Fig. 18.6.1), we report a unified processor for graphics, vision, and pose estimation for marker tracking. To process both graphics and vision simultaneously, we use 4 key features: (1) 6-way VLIW datapath design of processing elements, (2) reconfigurable processing elements for graphics and vision modes, (3) a pixel arranger for vision processing that has the inverse characteristic of a graphics rasterizer, and (4) a dedicated pose-estimation engine to generate graphics control data from vision processing. Using these methods, we achieve 371.9GOPS/W for full operation in a VGA image and 0.89µW/fps for pose estimation.
- Subjects :
- Video Graphics Array
Pixel
Computer science
business.industry
Graphics hardware
3D reconstruction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Computer graphics
Real-time computer graphics
Vector graphics
Texture mapping unit
Computer graphics (images)
Augmented reality
Computer vision
Graphics address remapping table
Artificial intelligence
General-purpose computing on graphics processing units
Graphics
business
2D computer graphics
Pose
3D computer graphics
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2010 IEEE International Solid-State Circuits Conference - (ISSCC)
- Accession number :
- edsair.doi...........51910872df1b846804c79bd03c739854
- Full Text :
- https://doi.org/10.1109/isscc.2010.5433907