Artículos de revistas
StitchingPHm-A new algorithm for panoramic images
Fecha
2014-01-01Registro en:
Pattern Recognition and Image Analysis, v. 24, n. 1, p. 41-56, 2014.
1555-6212
1054-6618
10.1134/S1054661814010167
2-s2.0-84897393192
Autor
Dept. of Computer Science, University of Western São Paulo (Unoeste)
Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Institución
Resumen
In this paper it is presented a new algorithm for the construction of panoramic images (including 360 panoramas), which has as main characteristic to avoid the distortion that occurs by joining of several successive images in a sequence. We used the SIFT and RANSAC algorithms to find overlap areas between pairs of images, as well as a Blend algorithm for smoothing the joints. As the proposed algorithm doesn't cause distortions, the subsequent correction is not necessary, contributing to a better performance. The results of experiments using commercial software and also the proposed algorithm were compared through a visual analysis. In addition, a quantitative analysis was done using numeric measures calculated on a panoramic image, generated from an image sequence of a region mapped and georeferenced by Google Earth. © 2014 Pleiades Publishing, Ltd.