Panorama Construction from Multi-view Cameras in Outdoor Scenes

Lakhmi JAIN, Margarita Favorskaya, Dmitry Novikov

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

3 Citations (Scopus)
2 Downloads (Pure)


The applications of panoramic images are wide spread in computer vision including navigation systems, object tracking, virtual environment creation, among others. In this chapter, the problems of multi-view shooting and the models of geometrical distortions are investigated under the panorama construction in the outdoor scenes. Our contribution are the development of procedure for selection of “good” frames from video sequences provided by several cameras, more accurate estimation of projective parameters in top, middle, and bottom regions in the overlapping area during frames stitching, and also the lighting improvement of the result panoramic image by a point-based blending in a stitching area. Most proposed algorithms have high computer cost because of mega-pixel sizes of initial frames. The reduction of frames sizes, the use of CUDA technique, or the hardware implementation will improve these results. The experiments show good visibility results with high stitching accuracy, if the initial frames were selected well
Original languageEnglish
Title of host publicationComputer Vision in Control Systems-2
EditorsMargarita Favorskaya, Lakhmi Jain
Place of PublicationGermany
Number of pages38
ISBN (Electronic)9783319114309
ISBN (Print)9783319114293
Publication statusPublished - 2015

Publication series

NameIntelligent Systems Reference Library
PublisherSpringer Science + Business Media
ISSN (Print)1868-4394


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