Transform Domain Shadow Removal for Foreground Silhouette

スポンサーリンク

概要

• 論文の詳細を見る

• A novel shadow removal approach is proposed by using block-wise transform domain shadow detection. The approach is based on the fact that the spatial frequency distributions on normal background areas and those under casted shadows from foreground objects are the same. The proposed approach is especially useful for silhouette extraction by using the Gaussian Mixture background Model (GMM) foreground segmentation in the transform domain, because the frequency distribution has already been calculated in the foreground segmentation. The stable shadow removal is realized, due to the transform domain implementation.

著者

• Nishitani Takao

  Graduate School Of System Design Tokyo Metropolitan University

• SHIOTA Toshiaki

  Graduate School of System Design, Tokyo Metropolitan University

• NAKAGAMI Kazuki

  Graduate School of System Design, Tokyo Metropolitan University

関連論文

• Efficient Image Enhancement Algorithm Using Multi-Rate Image Processing
• Multiresolutional Gaussian Mixture Model for Precise and Stable Foreground Segmentation in Transform Domain
• Transform Domain Shadow Removal for Foreground Silhouette

スポンサーリンク