no code implementations • 21 Nov 2023 • Radu Horaud, Humberto Sossa
In this paper we address the problem of recognizing 3-D polyhedral objects from 2-D images by indexing.
no code implementations • 30 Jun 2014 • Erik Cuevas, Daniel Zaldivar, Marco Perez, Humberto Sossa, Valentin Osuna
Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.
no code implementations • 30 May 2014 • Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez-Cisneros, Humberto Sossa
The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.
no code implementations • 28 May 2014 • Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
In the field of image analysis, segmentation is one of the most important preprocessing steps.
no code implementations • 28 May 2014 • Erik Cuevas, Felipe Sencion, Daniel Zaldivar, Marco Perez, Humberto Sossa
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.
no code implementations • 8 Nov 2013 • Roberto Rodríguez, Esley Torres, Yasel Garcés, Osvaldo Pereira, Humberto Sossa
This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way.