An Efficient Real-Time Image Reconstruction Scheme using Network m Multiple View and Multiple Cluster Environments

다시점 및 다중클러스터 환경에서 네트워크를 이용한 효율적인 실시간 영상 합성 기법

  • 유강수 (전주대학교 교양학부) ;
  • 임은천 (순천대학교 멀티미디어공학과) ;
  • 심춘보 (순천대학교 멀티미디어공학과)
  • Published : 2009.11.30


We propose an algorithm and system which generates 3D stereo image by composition of 2D image from 4 multiple clusters which 1 cluster was composed of 4 multiple cameras based on network. Proposed Schemes have a network-based client-server architecture for load balancing of system caused to process a large amounts of data with real-time as well as multiple cluster environments. In addition, we make use of JPEG compression and RAM disk method for better performance. Our scheme first converts input images from 4 channel, 16 cameras to binary image. And then we generate 3D stereo images after applying edge detection algorithm such as Sobel algorithm and Prewiit algorithm used to get disparities from images of 16 multiple cameras. With respect of performance results, the proposed scheme takes about 0.05 sec. to transfer image from client to server as well as 0.84 to generate 3D stereo images after composing 2D images from 16 multiple cameras. We finally confirm that our scheme is efficient to generate 3D stereo images in multiple view and multiple clusters environments with real-time.


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