Image stitching of dissimilar images
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
Image stitching is done by combining multiple input images such that the ideal result is a single image that contains contexts from all the inputs as well as seamless transitions between contexts. It is most commonly used in the field of panoramic photography. Large dissimilarities in the input image set are very problematic in image stitching applications. These cause several objections in the resulting output, such as ghosting and distortion. This paper presents a fully automated image stitching process that is aimed at reducing objections and increasing stitching quality. The proposed implementation adapted existing methods with an objective of having am implementation that is more robust against the dissimilarities caused by perspective, illumination, and occlusion. © 2015 IEEE.
html
Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393244
Recommended Citation
Licu, G., Mendoza, N., See, M., Sonam., Ochotorena, C., Roque, M., & Sybingco, E. (2016). Image stitching of dissimilar images. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393244
Disciplines
Electrical and Computer Engineering
Keywords
Image processing—Digital techniques; Photography, Panoramic
Upload File
wf_yes