MRF-BASED PLANAR CO-SEGMENTATION FOR DEPTH COMPRESSION

Date

2014-10-30

Author

Ozkalayci, Burak
Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

URI

https://hdl.handle.net/11511/55850

Conference Name

IEEE International Conference on Image Processing (ICIP)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Ozkalayci and A. A. Alatan, “MRF-BASED PLANAR CO-SEGMENTATION FOR DEPTH COMPRESSION,” presented at the IEEE International Conference on Image Processing (ICIP), Paris, FRANCE, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55850.