Multi-Viewpoint Panorama Construction With Wide-Baseline Images

We present a novel image stitching approach, which can produce visually plausible panoramic images with input taken from different viewpoints. Unlike previous methods, our approach allows wide baselines between images and non-planar scene structures. Instead of 3D reconstruction, we design a mesh-ba...

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Bibliographic Details
Published in:IEEE transactions on image processing 2016-07, Vol.25 (7), p.3099-3111
Main Authors: Zhang, Guofeng, He, Yi, Chen, Weifeng, Jia, Jiaya, Bao, Hujun
Format: Article
Language:English
Subjects:
Alignment
baseline images
Cameras
Construction
Design optimization
Distortion
image alignment
Image color analysis
image stitching
Indexes
Interpolation
multi-view panorama
Optimization
Scene analysis
Stitching
Three dimensional
Three-dimensional displays
Transaction processing
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Description
Summary:We present a novel image stitching approach, which can produce visually plausible panoramic images with input taken from different viewpoints. Unlike previous methods, our approach allows wide baselines between images and non-planar scene structures. Instead of 3D reconstruction, we design a mesh-based framework to optimize alignment and regularity in 2D. By solving a global objective function consisting of alignment and a set of prior constraints, we construct panoramic images, which are locally as perspective as possible and yet nearly orthogonal in the global view. We improve composition and achieve good performance on misaligned areas. Experimental results on challenging data demonstrate the effectiveness of the proposed method.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2016.2535225