Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image
1.引言 與傳統的2D電視相比，3d電視豐富了用戶的觀看體驗，在廣播領域越來越受歡迎。近年來，爲了彌補3D顯示與3D內容供應不足之間的差距，許多2D到3D的圖像/視頻轉換技術得到了發展。場景深度估計是基於深度圖像的繪製(DIBR)是這些算法的基礎。 目前已有許多基於立體圖像或運動的深度估計算法，但單一圖像的深度估計還沒有立體圖像的深度估計算法能夠很好地解決這一問題。在立體情況下，深
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