Automatic object-based 2D-to-3D conversion

Hak Gu Kim, B. Song
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引用次数: 2

Abstract

This paper presents a new 2D-to-3D conversion method based on structure from motion (SfM) in order to relieve the visual fatigue and simultaneously improve the three-dimensional effect (3D effect). First, we obtain the 3D information such as camera positions and depth values via SfM. Then, we segment an input image, and find the nearest object region. Next, the projective matrix of the nearest object is computed. Finally, the nearest object is warped using the computed projective matrix, and the other regions are properly warped according to their depth values. Experimental results show that the proposed method can synthesize stereo views better than the other methods.
自动基于对象的2d到3d转换
为了减轻视觉疲劳,同时提高三维效果,提出了一种基于运动转化结构(SfM)的二维到三维转换方法。首先,我们通过SfM获取相机位置和深度值等三维信息。然后,我们分割输入图像,并找到最近的目标区域。然后,计算最近目标的投影矩阵。最后,使用计算的投影矩阵对最近的对象进行弯曲,其他区域根据其深度值进行适当的弯曲。实验结果表明,该方法能较好地合成立体图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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