Low computing complexity architecture design of 2D-to-3D image converter

In this paper, we propose a low computing complexity architecture design of 2D-to-3D image converter. The presented approach establishes database of slope pattern to analyze the 2D image. According to slope and intersection, the scheme predicts vanishing points of 2D image. Then, depth map is reconstructed using vanishing points information. This approach focuses on fundamental structure analysis to reduce computing complexity and performs low computing complexity architecture of 2D-to-3D image converter.