“Arbitrary View Generation System Based on Silhouette Detection from Color and Disparity Images”

Daisuke Iso, Shinji Ozawa, Hideo Saito

Research output: Contribution to journalArticlepeer-review


In this paper, we describe a system for arbitrary view generation from multiple view images using octree and silhouette. Our system consists of four calibrated stereo cameras. Each camera is connected to a PC that locally extracts the silhouettes from the color and disparity captured by the camera. The four silhouette images and camera images are then sent to host computer to perform 3 D reconstruction. For making the reconstruction faster, the object 3 D space is represented by octree structure. We develop a new algorithm for fast speed constructing octree. The algorithm can reduce time complexity to check if a node should project 8 cube vertices to image plane, using a stack that keeps parents' temporary cube type. After reconstruction of model, we render arbitrary view images with coloring all voxels included the parts of surface in the model. By using our algorithm, our system runs in semi real time computation, (about 5 frames per second) for generating arbitrary view image.

Original languageEnglish
Pages (from-to)525-533
Number of pages9
JournalJournal of the Institute of Image Electronics Engineers of Japan
Issue number4
Publication statusPublished - 2002


  • 3 D Reconstruction
  • Camera Calibration
  • Multiple View Images
  • Octree
  • Shape from Silhouette

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering


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