Full controllable face detection system architecture for robotic vision

  • Anisetti, Marco
  • Bellandi, Valerio
  • Damiani, Ernesto
  • Jeon, Gwanggil
  • Jeong, Jechang
Citations

SCOPUS

3

초록

Face detection nowadays is one of the most promising applications of image analysis and processing. One emerging application field is Human-Robot Interaction. For many applications in this field (including face identification and expression recognition) the precision of facial feature detection and the computational burden are both critical issues. This paper presents a completely tunable hybrid method for accurate face localization based on a quick-and-dirty preliminary detection followed by a 3D refinement. Our technique guarantees complete control over the cost/quality ratio and permits to achieve the precision required for interactive applications. We use our approach to design a Robotic Vision Architecture capable of selecting from a set of strategies to obtain the best results.

키워드

ApplicationsImage analysisInternetRoboticsRobotsThree dimensionalComplete controlsComputational burdensCritical issuesEmerging applicationsExpression recognitionsFace detection systemsFace detectionsFace identificationsFace localizationsFacial feature detectionsHybrid methodsImage analysis and processingInteractive applicationsRobotic visionsFace recognition
제목
Full controllable face detection system architecture for robotic vision
저자
Anisetti, MarcoBellandi, ValerioDamiani, ErnestoJeon, Gwanggil Jeong, Jechang
DOI
10.1109/SITIS.2007.89
발행일
2007-12
유형
Conference Paper
저널명
Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007
페이지
748 ~ 756