Search Results for author:
Found 6 papers, 2 papers with code
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
Visual localization refers to the process of recovering camera pose from input image relative to a known scene, forming a cornerstone of numerous vision and robotics systems.
A 3D model-based approach for fitting masks to faces in the wild
Our method proceeds by first fitting a 3D morphable model on the input image, second overlaying the mask surface onto the face model and warping the respective mask texture, and last projecting the 3D mask back to 2D.
Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections
Motivated by the success of the incremental approach in robust SfM, we present an efficient reassembly method for axially symmetric pots based on iterative registration of one sherd at a time.
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment
Bundle adjustment is a nonlinear refinement method for camera poses and 3D structure requiring sufficiently good initialization.
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
Variable Projection (VarPro) is a framework to solve optimization problems efficiently by optimally eliminating a subset of the unknowns.
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
Matrix factorization (or low-rank matrix completion) with missing data is a key computation in many computer vision and machine learning tasks, and is also related to a broader class of nonlinear optimization problems such as bundle adjustment.
