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一种用于立体感增强的SFS改进算法

钱鑫1,2, 胡跃辉1,2, 吕国强1,2, 文江涛1,2(1.合肥工业大学仪器科学与光电工程学院,合肥 230009;2.合肥工业大学光电技术研究院,合肥 230009)

摘 要
表面重建是计算机立体视觉中的一个重要研究领域,SFS(shape from shading)是单帧图像立体感增强的有效方法之一。为了更好地利用SFS对图像进行增强,在对朗伯体表面反射模型进行详细分析和对影响3维重建结果的关键因素进行讨论的基础上,提出了一种改进的SFS算法,并给出了具体的步骤和计算方法。实验表明,该算法的确改善了立体显示的效果。
关键词
An Improved Algorithm of SFS for Stereo Enhancing

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Abstract
Surface reconstruction is one of the classic problems in computer vision. Extracting surface depth from a shaded image (SFS) is one kind of effective method. In this paper, the Lambertian surface model was analyzed in detail and the key factors touched the result was discussed; based on this, an improved algorithm with particular approach and computational method was proved. Experiments show that our algorithm enhance the perception of stereo display.
Keywords

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