Reconstructing occluded regions using fast weighted PCA

Tomoki Hosoi, Sei Nagashima, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Reconstructing occluded regions of the object is to automatically detect the occluded regions and background in the image and reconstruct these regions using image interpolation. This paper proposes a novel occluded region reconstruction method using Fast Weighted Principal Component Analysis (FW-PCA). The computation time of the weighted PCA can be reduced by using only the effective regions when calculating the principal component scores. The occluded regions are accurately detected by recursively updating the weight for each pixel in the image using FW-PCA. Then, the occluded regions can be reconstructed using the final weight. Thorough a set of experiments, we demonstrate that the proposed method exhibits higher performance than the conventional method.

本文言語English
ホスト出版物のタイトル2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
ページ1729-1732
ページ数4
DOI
出版ステータスPublished - 2012 12 1
イベント2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
継続期間: 2012 9 302012 10 3

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Other

Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period12/9/3012/10/3

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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