Fovea-Contingent Display

Fovea-contingent display (FCD) is another technology that we have been pursuing. Unlike conventional display technologies in which the finite number of pixels is spread evenly across the entire visual field, this technology adopts an active foveation approach which mimics the human visual system. In this approach, a user’s instantaneous attention is dynamically tracked and is engaged with high-resolution information in a narrow visual field which is embedded into a wide, low-resolution peripheral visual field to provide adequate context awareness.

FCD technology can potentially find numerous applications in 3D visualization, human computer interaction, and vision research. For instance, this technology can be used to develop techniques enabling physically-challenged individuals to interact with and access digital information.

In this project, we develop eye tracking capability in head mounted displays and design display systems with multi-resolutions. In a FCD design, the high resolution display is superimposed on the low resolution background. Since the acuity of the human eye is the highest across the fovea and rapidly decreases as the eccentricity angle increases, a proper design can possibly make  the user unaware of the resolution drop on the peripheral display if the high resolution display is dynamically registered with the gaze direction of a user.

Related Publications

  1. Design of a foveated imaging system using a two-axis MEMS mirror, Sheng Liu, Craig Pansing, and Hong Hua, Proc. SPIE 6342, 63422W (2006)
  2. Integration of eye tracking capability into optical see-through head-mounted displays, Hong Hua, Proc. SPIE 4297, 496 (2001)
  3. Sheng Liu and Hong Hua. “Spatialchromatic foveation for gaze contingent displays,” Eye Tracking Research & Applications Symposium (ETRA08), Proceedings of ACM, Savannah, USA, Mar 2008.
  4. Hong Hua and Sheng Liu, “A dual-sensor foveated imaging system,” Applied Optics, 47(3): 317-27, January 2008.
  5. Hong Hua, C. Pansing, and J. P. Rolland, “Modeling of an eye-imaging system for optimizing illumination schemes in an eye-tracked head-mounted display,” Applied Optics, 46(32): 1-14, November 2007.

Related Sources

  1. Camera Calibration Toolbox for Matlab
  2. Imatest: image quality evaluation software
  3. ISO12233 Test Chart