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[Author] Nobuji TETSUTANI(2hit)

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  • Development of Direct-View 3D Display for Videophones Using 15 inch LCD and Lenticular Sheet

    Shinichi SHIWA  Nobuji TETSUTANI  Kenji AKIYAMA  Susumu ICHINOSE  Tadahiko KOMATSU  

     
    INVITED PAPER

      Vol:
    E77-D No:9
      Page(s):
    940-948

    Three-dimensional display technologies that require special glasses are not suitable for telecommunications because wearing glasses is inconvenient and it is defficult to observe facial expressions. Our previous 6.3-inch 3D display was inadequate for presenting images with realistic sensation. In this paper, a direct view 15-inch 3D display is described. The display is made up of a l5-inch TFT LCD and a composite lenticular sheet (LS), and uses the head tracking technique. Quantitative evaluation of the stereoscopic sensation of the display was studied using the 3D display, and better stereoscopic sensation values were obtained compared with a 2D display mode, thus comfirming the display's usefulness.

  • Scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector Machine

    Shinjiro KAWATO  Nobuji TETSUTANI  Kenichi HOSAKA  

     
    PAPER-Image Recognition, Computer Vision

      Vol:
    E88-D No:12
      Page(s):
    2857-2863

    In this paper, we propose a method for detecting and tracking faces in video sequences in real time. It can be applied to a wide range of face scales. Our basic strategy for detection is fast extraction of face candidates with a Six-Segmented Rectangular (SSR) filter and face verification by a support vector machine. A motion cue is used in a simple way to avoid picking up false candidates in the background. In face tracking, the patterns of between-the-eyes are tracked while updating the matching template. To cope with various scales of faces, we use a series of approximately 1/ scale-down images, and an appropriate scale is selected according to the distance between the eyes. We tested our algorithm on 7146 video frames of a news broadcast featuring sign language at 320240 frame size, in which one or two persons appeared. Although gesturing hands often hid faces and interrupted tracking, 89% of faces were correctly tracked. We implemented the system on a PC with a Xeon 2.2-GHz CPU, running at 15 frames/second without any special hardware.

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