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Poster
IMAGE STITCHING FOR DUAL FISHEYE CAMERAS
![](https://sigport.org/sites/default/files/styles/home/public/ICIP_2018_2_0.jpg?itok=3Zvo4ksZ)
- Citation Author(s):
- Submitted by:
- I-Chan Lo
- Last updated:
- 5 October 2018 - 2:39am
- Document Type:
- Poster
- Document Year:
- 2018
- Event:
- Presenters:
- I-Chan Lo
- Paper Code:
- ICIP18001
- Categories:
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Panoramic photography creates stunning immersive visual experiences for viewers. In this paper, we investigate how to seamlessly stitch a pair of images captured by two uncalibrated, back-to-back, 195-degree fisheye cameras to generate a surround view of a 3D scene. It is a challenging task because the two camera centers are displaced and because the common region is the most distorted area. To enhance the robustness of feature matching and hence the quality of stitching, we propose a novel technique that projects the image rectilinearly onto an equirectangular plane. Unlike most previous global warping methods that are sensitive to the disparity between back-to-back fisheye images, our method employs local warping for image alignment while preserving the geometric structure of the scene. Experimental results show that our method effectively produces high-quality seamless panoramic images without stitching artifacts.
Poster.pdf
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