Image Registration of Kite Aerial Photographs

Authors

  • Abdel Jalal Sinapilo ⋅ PH National Institute of Physics
  • Maricor Soriano ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

Kite aerial photography (KAP) is an affordable alternative to drone photography, but KAP images are prone to distortion due to camera wobble and field-of-view settings. This thesis attempts to automate stitching of KAP images by identifying and minimizing the factors that prevent successful image registration. Moreover, it provides an experimental analysis on the quality of registration of distorted versus undistorted images. Significant features of a set of images are initially determined through feature detection. These features are assigned an identifying vector called feature descriptors. Similar descriptors among images are matched through a geometric transformation, and are registered as a panorama by laying the similar features onto each other in a single coordinate system. The quality of the registration is determined by the total area of the stitched set of images.

Issue

Article ID

SPP-2024-PB-16

Section

Poster Session B (Complex Systems, Computational Physics, and Astrophysics)

Published

2024-06-28

How to Cite

[1]
AJ Sinapilo and M Soriano, Image Registration of Kite Aerial Photographs, Proceedings of the Samahang Pisika ng Pilipinas 42, SPP-2024-PB-16 (2024). URL: https://proceedings.spp-online.org/article/view/SPP-2024-PB-16.