Weighted Minimal Hypersurface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Estimation of Transparent Objects by Using Inverse Polarization Ray Tracing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
International Journal of Computer Vision
Fluorescent immersion range scanning
ACM SIGGRAPH 2008 papers
Time-resolved 3d capture of non-stationary gas flows
ACM SIGGRAPH Asia 2008 papers
Physically guided liquid surface modeling from videos
ACM SIGGRAPH 2009 papers
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Geometry construction from caustic images
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Reconstructing mass-conserved water surfaces using shape from shading and optical flow
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Stochastic tomography and its applications in 3D imaging of mixing fluids
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Perspective and non-perspective camera models in underwater imaging --- overview and error analysis
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
| Hi-index | 0.00 |
In this paper we consider the problem of reconstructing the 3D position and surface normal of points on an unknown, arbitrarily-shaped refractive surface. We show that two viewpoints are sufficient to solve this problem in the general case, even if the refractive index is unknown. The key requirements are (1) knowledge of a function that maps each point on the two image planes to a known 3D point that refracts to it, and (2) light is refracted only once. We apply this result to the problem of reconstructing the time-varying surface of a liquid from patterns placed below it. To do this, we introduce a novel "stereo matching" criterion called refractive disparity, appropriate for refractive scenes, and develop an optimization-based algorithm for individually reconstructing the position and normal of each point projecting to a pixel in the input views. Results on reconstructing a variety of complex, deforming liquid surfaces suggest that our technique can yield detailed reconstructions that capture the dynamic behavior of free-flowing liquids.