@inproceedings{6c8286ac65e345c2bb0f4c0fd9017abf,
title = "Estimation of the 3D Pose of an Object Using Correlation Filters and CMA-ES",
abstract = "Object recognition is a widely studied problem in computer vision. Template matching with correlation filters is one of the most accurate strategies for target recognition. However, it is computationally expensive, particularly when there is no restriction in the pose of the object of interest and an exhaustive search is implemented. This work proposes the use of a Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for post-processing template matched filters. The proposed strategy searches for the best template matching guided by the discrimination capability of a correlation-based filter, considering a vast set of filters. CMA-ES is used to find the best match and determine the correct pose or orientation parameters of a target object. The proposed method demonstrates that CMA-ES is effective for multidimensional problems in a huge search space, which makes it a suitable candidate for target recognition in unconstrained applications. Experimental results show high efficiency in terms of the number of function evaluations and locating the correct pose parameters based on the DC measure.",
keywords = "CMA-ES, Correlation filters, Pose estimation",
author = "Dibene, {Juan Carlos} and Kenia Picos and D{\'i}az-Ram{\'i}rez, {Victor H.} and Leonardo Trujillo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 21st International Conference on Applications of Evolutionary Computation, EvoApplications 2018 ; Conference date: 04-04-2018 Through 06-04-2018",
year = "2018",
doi = "10.1007/978-3-319-77538-8_35",
language = "Ingl{\'e}s",
isbn = "9783319775371",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "506--520",
editor = "Kevin Sim and Paul Kaufmann",
booktitle = "Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings",
address = "Alemania",
}