2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry
Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz
Visual odometry algorithms tend to degrade when facing low-textured scenes -from e.g. human-made environments-, where it is often difficult to find a sufficient number of point fea…
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao, Alberto Ortiz, Francisco Bonnin-Pascual
It is generally accepted that one of the critical parts of current vision algorithms based on deep learning and convolutional neural networks is the annotation of a sufficient numb…
LiPo-LCD: Combining Lines and Points for Appearance-based Loop Closure Detection
Joan P. Company-Corcoles, Emilio Garcia-Fidalgo, Alberto Ortiz
Visual SLAM approaches typically depend on loop closure detection to correct the inconsistencies that may arise during the map and camera trajectory calculations, typically making…