Face detection for automatic exposure control in handheld camera

Ming Yang*, James Crenshaw, Bruce Augustine, Russell Mareachen, Ying Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

34 Scopus citations

Abstract

Face detection is a widely studied topic in computer vision, and advances in algorithms, low cost processing, and CMOS imagers make it practical for embedded consumer applications. As with graphics, the best cost-performance ratio is achieved with dedicated hardware. The challenges of face detection in embedded environments include bandwidth constraints set by low cost memory and a need to find parallelism. Consumer applications need reliability, calling for a hard real-time approach to guarantee that deadlines are met. We present a face detection system for automatic exposure control in a handheld digital camera or camera phone. Contributions include a complexity control scheme to meet hard real-time deadlines, a hardware pipeline design for Haar-like feature calculation, and a system design exploiting several levels of parallelism. The proposed architecture is verified by synthesis to Altera's low cost Cyclone II FPGA. Simulation results show the algorithm can achieve about 80% detection rate for group portrait pictures.

Original languageEnglish (US)
Title of host publicationProceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06
Pages17
Number of pages1
DOIs
StatePublished - 2006
EventFourth IEEE International Conference on Computer Vision Systems, ICVS'06 - New York, NY, United States
Duration: Jan 4 2006Jan 7 2006

Publication series

NameProceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06
Volume2006

Other

OtherFourth IEEE International Conference on Computer Vision Systems, ICVS'06
CountryUnited States
CityNew York, NY
Period1/4/061/7/06

ASJC Scopus subject areas

  • Engineering(all)

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