Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image
1.引言 与传统的2D电视相比，3d电视丰富了用户的观看体验，在广播领域越来越受欢迎。近年来，为了弥补3D显示与3D内容供应不足之间的差距，许多2D到3D的图像/视频转换技术得到了发展。场景深度估计是基于深度图像的绘制(DIBR)是这些算法的基础。 目前已有许多基于立体图像或运动的深度估计算法，但单一图像的深度估计还没有立体图像的深度估计算法能够很好地解决这一问题。在立体情况下，深
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