Face models from noisy 3D cameras

Martin Breidt, Heinrich H. Bülthoff, Cristobal Curio

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

2 Citations (Scopus)


Affordable 3D vision is just about to enter the mass market for consumer products such as video game consoles or TV sets. Having depth information in this context is beneficial for segmentation as well as gaining robustness against illumination effects, both of which are hard problems when dealing with color camera data in typical living room situations. Several techniques compute 3D (or rather 2.5D) depth information from camera data such as realtime stereo, time-of-flight (TOF), or real-time structured light, but all produce noisy depth data at fairly low resolutions. Not surprisingly, most applications are currently limited to basic gesture recognition using the full body. In particular, TOF cameras are a relatively new and promising technology for compact, simple and fast 2.5D depth measurements. Due to the measurement principle of measuring the flight time of infrared light as it bounces off the subject, these devices have comparatively low image resolution (176 × 144 ⋯ 320 × 240 pixels) with a high level of noise present in the raw data.

Original languageEnglish
Title of host publicationACM SIGGRAPH ASIA 2010 Sketches, SA'10
Publication statusPublished - 2010
EventACM SIGGRAPH ASIA 2010 Sketches, SA'10 - Seoul, Korea, Republic of
Duration: 2010 Dec 152010 Dec 18

Publication series

NameACM SIGGRAPH ASIA 2010 Sketches, SA'10


OtherACM SIGGRAPH ASIA 2010 Sketches, SA'10
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition


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