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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/27067 Cómo citar
Título: Robust estimation of local affine maps and its applications to image matching.
Autor: Rodriguez, Mariano
Facciolo, Gabriele
Grompone von Gioi, Rafael
Musé, Pablo
Delon, Julie
Tipo: Preprint
Palabras clave: Transforms, Cameras, Estimation, Detectors, Training, Image matching, Optical imaging, Computer Science, Computer Vision and Pattern Recognition
Fecha de publicación: 2020
Resumen: The classic approach to image matching consists in the detection, description and matching of keypoints. This defines a zero-order approximation of the mapping between two images, determined by corresponding point coordinates. But the patches around keypoints typically contain more information, which may be exploited to obtain a first-order approximation of the mapping, incorporating local affine maps between corresponding keypoints. In this work, we propose a LOCal Affine Transform Estimator (LOCATE) method based on neural networks. We show that LOCATE drastically improves the accuracy of local geometry estimation by tracking inverse maps. A second contribution on guided matching and refinement is also presented. The novelty here consists in the use of LOCATE to propose new SIFT-keypoint correspondences with precise locations, orientations and scales. Our experiments show that the precision gain provided by LOCATE does play an important role in applications such as guided matching. The third contribution of this paper consists in a modification to the RANSAC algorithm, that uses LOCATE to improve the homography estimation between a pair of images. These approaches outperform RANSAC for different choices of image descriptors and image datasets, and permit to increase the probability of success in identifying image pairs in challenging matching databases. The source codes are available at: https://rdguez-mariano.github.io/ pages/locate
Descripción: El PDF se corresponde a un preprint alojado en https://hal.archives-ouvertes.fr/hal-02156259v2
Editorial: IEEE
EN: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO, USA, 1-5 mar, pp 1331-1340, 2020.
Citación: Rodriguez, M., Facciolo, G., Grompone von Gioi, R. y otros. Robust estimation of local affine maps and its applications to image matching [Preprint]. EN: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO, USA, 1-5 mar, 2020, pp. 1331-1340. DOI: 10.1109/WACV45572.2020.9093646.
Licencia: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Aparece en las colecciones: Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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