Skip to main navigation Skip to search Skip to main content

A unified graphics and vision processor with a 0.89 μw/fps pose estimation engine for augmented reality

  • Jae Sung Yoon
  • , Jeong Hyun Kim
  • , Hyo Eun Kim
  • , Won Young Lee
  • , Seok Hoon Kim
  • , Kyusik Chung
  • , Jun Seok Park
  • , Lee Sup Kim

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

A unified vision and graphics processor with three layers is shown to provide a fast pipeline for augmented reality. In the image-level layer, a 153.6 GOPS massively parallel processing unit with eight SIMD processors, each containing 128 processing elements, performs highly data-parallel operations. In the sub-image layer, a rasterizer and a pixel arranger respectively generate and reduce data-level parallelism. In the descriptor-level layer, a pose estimation engine executes sequential programs. Our processor can provide images for augmented reality at 100 fps, for a power consumption of 413 mW. This is 39% faster than a comparable smartphone implementation. Our chip is fabricated in a 0.18 μm CMOS process and contains 0.95 M gates.

Original languageEnglish
Article number6156811
Pages (from-to)206-216
Number of pages11
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume21
Issue number2
DOIs
StatePublished - 2013

Keywords

  • 3-D graphics
  • augmented reality (AR)
  • pose estimation
  • vision processor

Fingerprint

Dive into the research topics of 'A unified graphics and vision processor with a 0.89 μw/fps pose estimation engine for augmented reality'. Together they form a unique fingerprint.

Cite this