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Technical Program
Paper Detail
| Paper: | WA-P7.12 |
| Session: | Interpolation, Super-Resolution and Demosaicking |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
SUPER-RESOLUTION FACE VIEW SYNTHESIS USING A MOBILE FACE CAPTURE SYSTEM |
| Authors: |
Miguel A. Figueroa-Villanueva; Michigan State University | | | | | George C. Stockman; Michigan State University | | |
| Abstract: |
During face-to-face collaboration people frequently monitor the other’s facial expressions to determine their current state of attention, mood, and comprehension. Capturing a frontal view of the face of mobile users in multi-user collaborative environments has been a challenge for several years. A mobile social presence system has been proposed [1] that captures two side views of the face simultaneously and generates a frontal view in real-time. The face is modeled using an active appearance model (AAM) and a mapping of the side model to the frontal model is constructed from training. Frontal views are then generated by applying this mapping to the fitted side model during collaboration. Only a few model coefficients are transmitted for the synthesized facial frames, providing a highly compressed stream. In this paper we present a performance analysis of the paper of [1] by evaluating the proposed system under limited resolution run-time conditions. |
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