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Found 5 papers, 0 papers with code
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction
Given the smooth motion of dynamic objects, we observe any element in the dictionary can be well approximated by a sparse linear combination of other elements in the same dictionary (i. e. self-expression).
Minimal Solvers for 3D Geometry From Satellite Imagery
We propose two novel minimal solvers which advance the state of the art in satellite imagery processing.
Structure From Motion Using Structure-Less Resection
In this work, we take the collection of already reconstructed cameras as a generalized camera, and determine the absolute pose of a candidate pinhole camera from pure 2D correspondences, which we call it semi-generalized camera pose problem.
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos
We target the sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap.
PatchMatch Based Joint View Selection and Depthmap Estimation
We propose a multi-view depthmap estimation approach aimed at adaptively ascertaining the pixel level data associations between a reference image and all the elements of a source image set.
