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Found 3 papers, 1 papers with code
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
In our experiments we verify that solving the variational model on the manifold produces high-quality images without explicitly estimating optical flow.
Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization
Dense image matching is a fundamental low-level problem in Computer Vision, which has received tremendous attention from both discrete and continuous optimization communities.
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo
We propose a method for dense three-dimensional surface reconstruction that leverages the strengths of shape-based approaches, by imposing regularization that respects the geometry of the surface, and the strength of depth-map-based stereo, by avoiding costly computation of surface topology.
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