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Guided image filtering in shape-from-focus: A comparative analysis
DOI:10.1016/j.patcog.2020.107670.png)
摘要
En 中文
Mostly, shape from focus (SFF) methods do not consider any prior to extend the accuracy of the depth map. Ultimately, even the improved depth map might lack the accurate structure of the object. While reviewing the guided filters, it has been observed that SFF has not been considered as an application. In this study, we not only suggest to apply guided filtering for depth enhancement but also provide a comparative analysis of recently proposed guided filters for SFF framework in a systematic way. In addition, a set of potential guidance maps has been suggested and the performance of these guidance maps has been evaluated. The improved performance of guided filters has been ranked against the depth maps of synthetic and real image sequences where the corresponding scenes have diverse range of geometrical complexities. It has been observed that guided image filtering is effective in improving the initial depth maps in SFF. (C) 2020 Elsevier Ltd. All rights reserved.
Keyword:
Shape from focus (SFF)
Focus measure
Guided image filtering
Depth map
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期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Improvements in Shape-From-Focus for Holographic Reconstructions With Regard to Focus Operators, Neighborhood-Size, and Height Value Interpolation关于焦点运算符,邻域大小和高度值插值的全息重建的焦点形状的改进
Prevalence of aortic valve abnormalities in the elderly: An echocardiographic study of a random population sample老年人主动脉瓣异常的患病率: 随机人群样本的超声心动图研究
Consideration of illumination effects and optimization of window size for accurate calculation of depth map for 3D shape recovery
PATTERN RECOGNITION
IF7.6

