Camera pose estimation based on local image correlation

Victor H. Diaz-Ramirez; Martin Gonzalez-Ruiz; Rigoberto Juarez-Salazar

doi:10.1117/12.2633732

3 October 2022 Camera pose estimation based on local image correlation

Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Rigoberto Juarez-Salazar

Proceedings Volume 12225, Optics and Photonics for Information Processing XVI; 122250D (2022) https://doi.org/10.1117/12.2633732
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, and Rigoberto Juarez-Salazar "Camera pose estimation based on local image correlation", Proc. SPIE 12225, Optics and Photonics for Information Processing XVI, 122250D (3 October 2022); https://doi.org/10.1117/12.2633732

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