Search Results for author:
Found 5 papers, 1 papers with code
Soft Expectation and Deep Maximization for Image Feature Detection
Central to the application of many multi-view geometry algorithms is the extraction of matching points between multiple viewpoints, enabling classical tasks such as camera pose estimation and 3D reconstruction.
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
We claim that in order to train detectors to work well in indoor environments, they must be robust to this type of geometry, and repeatable under true viewpoint change instead of homographies.
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
We show for the first time that deep neural networks are capable of detecting loop closures, and we provide a method for generating large-scale datasets for use in evaluating and training loop closure detectors.
Loop Closure Detection
Simultaneous Localization and Mapping
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem
This paper presents a novel extension of CS to the phase retrieval problem, where intensity measurements of a linear system are used to recover a complex sparse signal.
Sparsity and Robustness in Face Recognition
This report concerns the use of techniques for sparse signal representation and sparse error correction for automatic face recognition.
