A homography-based inpainting algorithm for effective depth-image-based rendering

Hanqiang Shan, Wei Da Chien, Hung Ming Wang, Jar Ferr Yang

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

In the depth-image-based rendering (DIBR), hole-filling is one of the most important procedures for the quality of DIBR results, especially in modern multi-view 3D-TV systems. To achieve photorealistic performance, we propose a novel inpainting algorithm for hole-filling. Rather than fill the holes in the target image by using neighboring pixels, the proposed method makes use of a reference image which contains the occluded information of the input image. The reference image is first segmented to many planar segments by optical flow and graph cuts optimization, and a set of homography matrices between the reference and target images for all planar segments are estimated by SURF features. Then the segments are transformed by these homography matrices to fill the holes in target image. Finally, exposure compensation is performed to reduce the difference between exposures of the input and reference images. Experimental results reveal that the proposed method can yield satisfactory synthesis quality and outperforms other existing hole-filling methods.

原文English
主出版物標題2014 IEEE International Conference on Image Processing, ICIP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5412-5416
頁數5
ISBN(電子)9781479957514
DOIs
出版狀態Published - 2014 一月 28

出版系列

名字2014 IEEE International Conference on Image Processing, ICIP 2014

All Science Journal Classification (ASJC) codes

  • 電腦視覺和模式識別

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