Kenichiro Tanaka^1,2, Yasuhiro Mukaigawa², Hiroyuki Kubo², Yasuyuki Matsushita^{1, 3}, Yasushi Yagi^1
1 Osaka University, ² Nara Institute of Science and Technology , ³ Microsoft Research Asia

IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI):
IEEE Open Access, [bibtex]
@article{ Tanaka2017,
author = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kubo, Hiroyuki and Matsushita, Yasuyuki and Yagi, Yasushi},
title = {Recovering Inner Slices of Layered Translucent Objects by Multi-frequency Illumination},
journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)},
pages = {746--757},
volume = {39},
number = {4},
day = {1},
month = {4},
year = {2017}
}
 

CVPR 2015 (oral) : [Paper, open access (PDF)], IEEE Xplore, [bibtex]
@InProceedings{ Tanaka_2015_CVPR,
author = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kubo, Hiroyuki and Matsushita, Yasuyuki and Yagi, Yasushi},
title = {Recovering Inner Slices of Translucent Objects by Multi-frequency Illumination},
booktitle = {Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on},
pages = {5464-5472},
month = {June},
year = {2015}
}
 

情報処理学会研究報告(CVIM): [プレプリント(PDF)]

Abstract

  This paper describes a method for recovering appearance of inner slices of translucent objects. The outer appearance of translucent objects is a summation of the appearance of slices at all depths, where each slice is blurred by depth-dependent point spread functions (PSFs). By exploiting the difference of low-pass characteristics of depth-dependent PSFs, we develop a multi-frequency illumination method for obtaining the appearance of individual inner slices using a coaxial projector-camera setup. Specifically, by measuring the target object with varying the spatial frequency of checker patterns emitted from a projector, our method recovers inner slices via a simple linear solution method. We quantitatively evaluate accuracy of the proposed method by simulations and show qualitative recovery results using real-world scenes.

Paper

Video

Oral talk at CVPR 2015 is available.

 

Presentation

[Powerpoint(.pptx), 48MB]

Poster