• Title/Summary/Keyword: 배경차분화

Search Result 22, Processing Time 0.019 seconds

A Real-time Interactive Shadow Avatar with Facial Emotions (감정 표현이 가능한 실시간 반응형 그림자 아바타)

  • Lim, Yang-Mi;Lee, Jae-Won;Hong, Euy-Seok
    • Journal of Korea Multimedia Society
    • /
    • v.10 no.4
    • /
    • pp.506-515
    • /
    • 2007
  • In this paper, we propose a Real-time Interactive Shadow Avatar(RISA) which can express facial emotions changing as response of user's gestures. The avatar's shape is a virtual Shadow constructed from the real-time sampled picture of user's shape. Several predefined facial animations overlap on the face area of the virtual Shadow, according to the types of hand gestures. We use the background subtraction method to separate the virtual Shadow, and a simplified region-based tracking method is adopted for tracking hand positions and detecting hand gestures. In order to express smooth change of emotions, we use a refined morphing method which uses many more frames in contrast with traditional dynamic emoticons. RISA can be directly applied to the area of interface media arts and we expect the detecting scheme of RISA would be utilized as an alternative media interface for DMB and camera phones which need simple input devices, in the near future.

  • PDF

A Object-Based Image Retrieval Using Feature Analysis and Fractal Dimension (특징 분석과 프랙탈 차원을 이용한 객체 기반 영상검색)

  • 이정봉;박장춘
    • Journal of Korea Multimedia Society
    • /
    • v.7 no.2
    • /
    • pp.173-186
    • /
    • 2004
  • This paper proposed the content-based retrieval system as a method for performing image retrieval through the effective feature extraction of the object of significant meaning based on the characteristics of man's visual system. To allow the object region of interest to be primarily detected, the region, being comparatively large size, greatly different from the background color and located in the middle of the image, was judged as the major object with a meaning. To get the original features of the image, the cumulative sum of tile declination difference vector the segment of the object contour had and the signature of the bipartite object were extracted and used in the form of being applied to the rotation of the object and the change of the size after partition of the total length of the object contour of the image into the normalized segment. Starting with this form feature, it was possible to make a retrieval robust to any change in translation, rotation and scaling by combining information on the texture sample, color and eccentricity and measuring the degree of similarity. It responded less sensitively to the phenomenon of distortion of the object feature due to the partial change or damage of the region. Also, the method of imposing a different weight of similarity on the image feature based on the relationship of complexity between measured objects using the fractal dimension by the Boxing-Counting Dimension minimized the wrong retrieval and showed more efficient retrieval rate.

  • PDF