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Found 5 papers, 1 papers with code
Learning Structure-from-Motion with Graph Attention Networks
In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use of graph attention networks.
expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
The recently introduced factorization-based pOSE methods formulate a surrogate for the bundle adjustment error without reliance on good initialization.
A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors
Lines are among the most used computer vision features, in applications such as camera calibration to object detection.
On the Tightness of Semidefinite Relaxations for Rotation Estimation
In studying the empirical performance we note that there are few failure cases reported in the literature, in particular for estimation problems with a single rotation, motivating us to gain further theoretical understanding.
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion
In contrast, when applying more general singular value penalties, such as weighted nuclear norm priors, direct optimization over the elements of the matrix is typically used.
