Real-time stereo facial feature tracking: Mimicking human mouth movement on a humanoid robot head

Sabri Gurbuz, Toshihiro Shimizu, Gordon Cheng

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

In this paper, we describe a novel real-time stereo facial feature tracking algorithm in presence of geometry and illumination changes. The algorithm is applied to real-time humanhumanoid interactions. First, facial feature tracking algorithm locates the facial landmarks such as eyes with the left camera. Then, matching the between the eye pattern on stereo images, the horopter of the head location is estimated for fast stereo disparity processing. Thus, as a result, knowing the disparity and calibration parameters of stereo cameras, not only make it possible to track features in 3D, but also makes tracking more robust. We demonstrate the developed stereo tracking system through a human to humanoid robot mouth mimicking task.

OriginalspracheEnglisch
TitelProceedings of 2005 5th IEEE-RAS International Conference on Humanoid Robots
Seiten363-368
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 2005
Extern publiziertJa
Veranstaltung2005 5th IEEE-RAS International Conference on Humanoid Robots - Tsukuba, Japan
Dauer: 5 Dez. 20057 Dez. 2005

Publikationsreihe

NameProceedings of 2005 5th IEEE-RAS International Conference on Humanoid Robots
Band2005

Konferenz

Konferenz2005 5th IEEE-RAS International Conference on Humanoid Robots
Land/GebietJapan
OrtTsukuba
Zeitraum5/12/057/12/05

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