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서지반출
Regional Linear Warping for Image Stitching with Dominant Edge Extraction
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  • Regional Linear Warping for Image Stitching with Dominant Edge Extraction
  • Regional Linear Warping for Image Stitching with Dominant Edge Extraction
저자명
Yoo. Jisung,Hwang. Sung Soo,Kim. Seong Dae,Ki. Myung Seok,Cha. Jihun
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2013년|7권 10호|pp.2464-2478 (15 pages)
발행정보
한국인터넷정보학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.