F. J. Madrid-Cuevas

TL;DR: A fiducial marker system specially appropriated for camera pose estimation in applications such as augmented reality and robot localization is presented and an algorithm for generating configurable marker dictionaries following a criterion to maximize the inter-marker distance and the number of bit transitions is proposed.

TL;DR: Two Mixed Integer Linear Programming (MILP) approaches to generate configurable square-based fiducial marker dictionaries maximizing their inter-marker distance are proposed.

TL;DR: A new algorithm is presented that detects a set of dominant points on the boundary of an eight-connected shape to obtain a polygonal approximation of the shape itself and iteratively deletes redundant break points until the required approximation is achieved.

TL;DR: The results obtained show that, independently of the technique employed, the use of depth silhouettes increases the success significantly and how the best results are obtained through the combined use of PCA and HMM.

TL;DR: The proposed method provides a criterion to reduce in a significant way the number of initial values to be considered as threshold candidates and can be applied to any feature image provided by an edge detector upon which hysteresis must be implemented.