As-Projective-As-Possible Image Stitching with Moving DLT

By Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

715 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/396e7f2d3fe9cd43a2c41da5b10fb8b0b1930dc5

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

1. Jian Yao
2. Fan Zhang
3. Li Li
4. Renping Xie
5. Feng Liu
6. Menghan Xia

In Computer Vision and Pattern Recognition

1. Jian Yao
2. Fan Zhang
3. Li Li
4. Renping Xie
5. Feng Liu
6. Menghan Xia
7. Raquel Urtasun
8. Sanja Fidler

Citations in the corpus

• Parallax-Tolerant Image Stitching (2014, methodology): “The APAP method creates a reasonable stitching result as shown in Figure 3(d); however, as APAP tries to align two images over the whole overlapping region, it distorts the salient image structure, such as the pillar indicated by the red rectangle.”
• A Unified Framework for Street-View Panorama Stitching (2016, background): “Image warping is a transformation that maps all positions in one image plane to the corresponding ones in another plane [24], which has been popularly applied in many fields of computer vision, such as image morphing [25,26], image retargeting [27,28] and image mosaicking [29,30].”