Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/137751
Title: VISUAL STITCHING UNDER CHALLENGING CONDITIONS
Authors: LIN KAIMO
Keywords: image stitching, panorama stitching, video stitching, video stabilization, motion segmentation, background identification
Issue Date: 28-Jul-2017
Source: LIN KAIMO (2017-07-28). VISUAL STITCHING UNDER CHALLENGING CONDITIONS. ScholarBank@NUS Repository.
Abstract: Visual stitching under challenging conditions (e.g., large parallax, weakly-textured content, and freely-moving hand-held camera inputs) poses great challenges to existing stitching solutions. To deal with these problems, we propose several state-of-the-art solutions for different situations. Firstly, we propose a seam-guided local alignment method (SEAGULL) for large parallax image stitching. Then, we introduce a mesh-based photometric alignment (MPA) method for weakly-textured image alignment. For video stitching task, we develop the first system to stitch videos from freely-moving hand-held cameras. It combines dense 3D reconstruction and a line-preserving warping method to generate spatially artifact-free and temporally stabilized stitching results. Lastly, we present a robust trajectory-based background identification method, which can be used in video stitching to robustly identify the static background features even with large foreground objects. The experiment results show that our methods can handle a variety of challenging images and videos, and outperform many state-of-the-art stitching and motion segmentation methods.
URI: http://scholarbank.nus.edu.sg/handle/10635/137751
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
LinKM.pdf124.78 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

17
checked on Jan 14, 2018

Download(s)

5
checked on Jan 14, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.