Adaptive Space Carving with Texture Mapping

  • Yoo-Kil Yang
  • Jung Lee
  • Soo-Kyun Kim
  • Chang-Hun Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3482)


Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.


Target Object Source Image Texture Mapping Foreground Pixel Visual Hull 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yoo-Kil Yang
    • 1
  • Jung Lee
    • 2
  • Soo-Kyun Kim
    • 2
  • Chang-Hun Kim
    • 2
  1. 1.Dept. of Visual Information ProcessingKorea University 
  2. 2.Dept. of Computer Science and EngineeringKorea University 

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