Registered
DEEP LEARNING-BASED IMAGE STITCHING METHOD AND APPARATUS
- Inventors
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Gi Mun Um, 송대영, 조동현, Lee Hee Kyung, Seong Yong Lim, Jeongil Seo
- Application No.
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17532880 (2021.11.22)
- Publication No.
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20220164922 (2022.05.26)
- Registration No.
- 11900561 (2024.02.13)
- Country
- UNITED STATES
- Project Code
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20HH2400, Immersive Media Research Laboratory,
Jeongil Seo
- Abstract
- A deep learning-based image stitching method and apparatus are provided. The deep learning-based image stitching method includes receiving a plurality of images including a first image and a second image stitched to the first image, extracting a feature map of the plurality of images, generating a plurality of flow maps indicating movement information of pixels of the plurality of images, based on the feature map, generating a plurality of warping images in which the pixels of the plurality of images are moved, by applying the plurality of flow maps to the plurality of images, respectively, generating a plurality of weight maps for blending the plurality of warping images, based on the feature map, and generating a stitch image in which the first image and the second image are stitched, by blending the plurality of warping images based on the plurality of weight maps.
- KSP Keywords
- Feature map, Learning-based, Stitching method, deep learning(DL), image stitching
- Family
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