Structure and motion from optical flow under perspective projection
Computer Vision, Graphics, and Image Processing
ACM Transactions on Graphics (TOG)
Biological Cybernetics
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
Robot Vision
Computer Vision
Retrieving Shape Information from Multiple Images of a Specular Surface
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neural network scheme for transparent surface modelling
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
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
Fluorescent immersion range scanning
ACM SIGGRAPH 2008 papers
Analytic Reconstruction of Transparent and Opaque Surfaces from Texture Images
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Microscopic surface shape estimation of a transparent plate using a complex image
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
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
A neural network for simultaneously reconstructing transparent and opaque surfaces
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Depth from Refraction Using a Transparent Medium with Unknown Pose and Refractive Index
International Journal of Computer Vision
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The appearance of a pattern behind a transparent, moving object is distorted by refraction at the moving object's surface. An algorithm for reconstructing the surface shape of a nonrigid transparent object, such as water, from the apparent motion of the observed pattern is described. This algorithm is based on the optical and statistical analysis of the distortions. It consists of four steps: extraction of optical flow, averaging of each point trajectory obtained from the optical flow sequence, calculation of the surface normal using optical characteristics, and reconstruction of the surface. The algorithm is applied to both synthetic and real images to demonstrate its performance.