The role of prior in image based 3D modeling: a survey

doi:10.1007/s11704-016-5520-8

Front. Comput. Sci.

2017, Vol. 11

Issue (2) : 175-191 https://doi.org/10.1007/s11704-016-5520-8

REVIEW ARTICLE

The role of prior in image based 3D modeling: a survey

Hao ZHU,Yongming NIE,Tao YUE,Xun CAO(

)

Lab for Computational Imaging Technology and Engineering, School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China

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Abstract

The prior knowledge is the significant supplement to image-based 3D modeling algorithms for refining the fragile consistency-based stereo. In this paper, we review the image-based 3D modeling problem according to prior categories, i.e., classical priors and specific priors. The classical priors including smoothness, silhouette and illumination are well studied for improving the accuracy and robustness of the 3D reconstruction. In recent years, various specific priors which take advantage of Manhattan rule, geometry template and trained category features have been proposed to enhance the modeling performance. The advantages and limitations of both kinds of priors are discussed and evaluated in the paper. Finally, we discuss the trend and challenges of the prior studies in the future.

Keywords prior information consistency-based stereo smoothness illumination silhouette specific prior

Corresponding Author(s): Xun CAO

Just Accepted Date: 18 July 2016 Online First Date: 17 October 2016 Issue Date: 06 April 2017

Cite this article:

Hao ZHU,Yongming NIE,Tao YUE, et al. The role of prior in image based 3D modeling: a survey[J]. Front. Comput. Sci., 2017, 11(2): 175-191.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-016-5520-8
https://academic.hep.com.cn/fcs/EN/Y2017/V11/I2/175

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