In this paper we present a pipeline for camera pose and trajectory estimation, and image stabilization and rectification for dense as well as wide baseline omnidirectional images. The input is a set of images taken by a single hand-held camera. The output is a set of stabilized and rectified images augmented by the computed camera 3D trajectory and reconstruction of feature points facilitating visual object recognition. The paper generalizes previous works on camera trajectory estimation done on perspective images to omnidirectional images and introduces a new technique for omnidirectional image rectification that is suited for recognizing people and cars in images. The performance of the pipeline is demonstrated on a real image sequence acquired in urban as well as natural environments. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Torii, A., Havlena, M., & Pajdla, T. (2009). Omnidirectional image stabilization by computing camera trajectory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5414 LNCS, pp. 71–82). https://doi.org/10.1007/978-3-540-92957-4_7
Mendeley helps you to discover research relevant for your work.