Intermediate View Synthesis Based on Adaptive BP Algorithm and View Interpolation

Chong Wang, Li Zhao
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引用次数: 5

Abstract

This paper presents a novel intermediate view synthesis method based on adaptive belief propagation (BP) algorithm and view interpolation. First, we raise the accuracy in disparity estimation by introducing an adaptive BP algorithm. Then, image pairs are divided into three kinds of regions. Finally, intermediate view is obtained by applying a new interpolation method to each region. Experimental results indicate that the proposed method can synthesize virtual images with high quality and performs better than a latest method.
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基于自适应BP算法和视图插值的中间视图合成
提出了一种基于自适应信念传播(BP)算法和视图插值的中间视图综合方法。首先,引入自适应BP算法,提高视差估计的精度。然后,将图像对划分为三种区域。最后,对每个区域采用新的插值方法得到中间视图。实验结果表明,该方法能较好地合成高质量的虚拟图像,性能优于现有方法。
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