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A graphics and vision unified processor with 0.89μw/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
  • Korea Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

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.

Original languageEnglish
Title of host publication2010 IEEE International Solid-State Circuits Conference, ISSCC 2010 - Digest of Technical Papers
Pages336-337
Number of pages2
DOIs
StatePublished - 2010
Event2010 IEEE International Solid-State Circuits Conference, ISSCC 2010 - San Francisco, CA, United States
Duration: 7 Feb 201011 Feb 2010

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
Volume53
ISSN (Print)0193-6530

Conference

Conference2010 IEEE International Solid-State Circuits Conference, ISSCC 2010
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/02/1011/02/10

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