MRF-BASED PLANAR CO-SEGMENTATION FOR DEPTH COMPRESSION

Ozkalayci B., ALATAN A. A.

IEEE International Conference on Image Processing (ICIP), Paris, France, 27 - 30 October 2014, pp.125-129 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Paris
  • Country: France
  • Page Numbers: pp.125-129
  • Keywords: Energy minimization based model fitting, depth compression, MVD, planar 3D
  • Middle East Technical University Affiliated: Yes

Abstract

An energy based planar depth representation is proposed to obtain an efficient depth compression tool for 3DV applications. The proposed segmentation-based depth compression approach is designed by reflecting the rate-distortion tradeoff into the energy terms. A PEARL based algorithm is developed to obtain the planar approximations of depth images. Lastly depth reconstruction and novel view rendering results of the proposal compared with the state-of-the-art methods. The experiments show that the planar approach performs superior rendering results than JPEG 2000 and HEVC standards.