TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Regional Linear Warping for Image Stitching with Dominant Edge Extraction |
| 영문제목(English Title) |
Regional Linear Warping for Image Stitching with Dominant Edge Extraction |
| 저자(Author) |
Jidung Yoo
Sung Soo Hwang
Seong Dae Kim
Myung Seok Ki
Jihun Cha
|
| 원문수록처(Citation) |
VOL 07 NO. 10 PP. 2464 ~ 2478 (2013. 10) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Image stitching techniques produce an image with a wide field-of-view by aligning multiple images with a narrow field-of-view. While conventional algorithms successfully stitch images with a small parallax, structure misalignment may occur when input images contain a large parallax. This paper presents an image stitching algorithm that aligns images with a large parallax by regional linear warping. To this end, input images are first approximated as multiple planar surfaces, and different linear warping is applied to each planar surface. For approximating input images as multiple planar surfaces, the concept of dominant edges is introduced. Dominant edges are defined as conspicuous edges of lines in input images, and extracted dominant edges identify the boundaries of each planar surface. Dominant edge extraction is conducted by detecting distinct changes of local characteristics around strong edge pixels. Experimental results show that the proposed algorithm successfully stitches images with a large parallax without structure misalignment. |
| 키워드(Keyword) |
Image stitching
dominant edge extraction
local histogram of intensity
|
| 파일첨부 |
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