@inproceedings{699190f890f64ed482e555b12eede5f6,
title = "Camera pose estimation based on local image correlation",
abstract = "Camera pose estimation is an essential task in many computer vision applications. A widely used approach for this task is given by the specification of several corresponding points in a pair of captured input and reference images. The effectiveness of these methods depends on the accuracy of the specified points and is very sensitive to outliers. This work presents an iterative method for camera pose estimation based on local image correlation. The pose of the camera is estimated by finding a homography matrix that produces the best match between local fragments of the reference image constructed around the specified points and their corresponding projective transformed fragments of the input image when using the estimated homography. The performance of the proposed method is tested by processing synthetic and experimental images.",
keywords = "Camera pose estimation, homography, template matching",
author = "Diaz-Ramirez, {Victor H.} and Martin Gonzalez-Ruiz and Rigoberto Juarez-Salazar",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; Optics and Photonics for Information Processing XVI 2022 ; Conference date: 24-08-2022",
year = "2022",
doi = "10.1117/12.2633732",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Awwal, {Abdul A. S.} and Iftekharuddin, {Khan M.} and Diaz-Ramirez, {Victor Hugo}",
booktitle = "Optics and Photonics for Information Processing XVI",
address = "Estados Unidos",
}