@techreport{oai:ipsj.ixsq.nii.ac.jp:00217815,
 author = {Meng-Yu, Jennifer Kuo and Ryo, Kawahara and Satoshi, Murai and Shohei, Nobuhara and Ko, Nishino and Meng-Yu, Jennifer Kuo and Ryo, Kawahara and Satoshi, Murai and Shohei, Nobuhara and Ko, Nishino},
 issue = {2},
 month = {May},
 note = {The properties of water not only bring challenges, but are also part of the solution. The transmittance of water depends on both the distance and the wavelength, and water has significant absorption of light in the near-infrared wavelength range. We leverage this effect and propose three methods for passive underwater 3D sensing. The first method estimates dense per-pixel surface normals and shape of underwater objects without any artificial constraint on one another. The second method reconstructs the holistic and consolidated shape of a dynamic, non-rigid object. And the last method recovers the fuller and detailed surface geometries including both surface normals and shapes of underwater rigid objects. We successfully validate the effectiveness of the theory with the experimental results by applying the methods to a number of real-world objects in water., The properties of water not only bring challenges, but are also part of the solution. The transmittance of water depends on both the distance and the wavelength, and water has significant absorption of light in the near-infrared wavelength range. We leverage this effect and propose three methods for passive underwater 3D sensing. The first method estimates dense per-pixel surface normals and shape of underwater objects without any artificial constraint on one another. The second method reconstructs the holistic and consolidated shape of a dynamic, non-rigid object. And the last method recovers the fuller and detailed surface geometries including both surface normals and shapes of underwater rigid objects. We successfully validate the effectiveness of the theory with the experimental results by applying the methods to a number of real-world objects in water.},
 title = {Refraction and Absorption for Underwater Shape Recovery},
 year = {2022}
}