L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry

NeurIPS 2009 Arnak DalalyanRenaud Keriven

We propose a new approach to the problem of robust estimation in multiview geometry. Inspired by recent advances in the sparse recovery problem of statistics, our estimator is defined as a Bayesian maximum a posteriori with multivariate Laplace prior on the vector describing the outliers... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet