論文

査読有り
2018年12月14日

Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • Kenichiro Tanaka
  • ,
  • Hiroyuki Kubo
  • ,
  • Nobuhiro Ikeya
  • ,
  • Takuya Funatomi
  • ,
  • Tsuyoshi Takatani
  • ,
  • Yasuhiro Mukaigawa

担当区分
筆頭著者
開始ページ
4804
終了ページ
4813
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/CVPR.2018.00505

© 2018 IEEE. We present a novel time-resolved light transport decomposition method using thermal imaging. Because the speed of heat propagation is much slower than the speed of light propagation, transient transport of far infrared light can be observed at a video frame rate. A key observation is that the thermal image looks similar to the visible light image in an appropriately controlled environment. This implies that conventional computer vision techniques can be straightforwardly applied to the thermal image. We show that the diffuse component in the thermal image can be separated and, therefore, the surface normals of objects can be estimated by the Lambertian photometric stereo. The effectiveness of our method is evaluated by conducting real-world experiments, and its applicability to black body, transparent, and translucent objects is shown.

リンク情報
DOI
https://doi.org/10.1109/CVPR.2018.00505
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062846197&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85062846197&origin=inward

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