Constructing image panoramas using dual-homography warping
By Junhong Gao, Seon Joo Kim, Michael S. Brown. Computer Vision and Pattern Recognition, 2011
359 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/cf504973d4d5265e853f5e66acd8222dad846ce5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Yung-Yu Chuang
- Michael S. Brown
- Karthikeyan Natesan Ramamurthy
- Sharath Pankanti
- Chung-Ching Lin
- Che-Han Chang
- Aleksandr Y. Aravkin
- Yoichi Sato
In Computer Vision and Pattern Recognition
- Yung-Yu Chuang
- Michael S. Brown
- Karthikeyan Natesan Ramamurthy
- Sharath Pankanti
- Chung-Ching Lin
- Julio Zaragoza
- Quoc-Huy Tran
- Che-Han Chang
Citations in the corpus
- Parallax-Tolerant Image Stitching (2014, neutral): “The recent dual-homography warping method can stitch images with parallax, but it requires the scene content can be modeled by two planes [8].”
- As-Projective-As-Possible Image Stitching with Moving DLT (2013, methodology): “[4] proposed dual homography warps for image stitching.”
- Adaptive as-natural-as-possible image stitching (2015, methodology): “A simple extension for computing a single global homography is introduced in [7] by separating a single scene into a distant plane and a ground plane.”
- Shape-Preserving Half-Projective Warps for Image Stitching (2014, background): “[6] proposed the dual-homography warping to specifically deal with scenes containing two dominant planes.”