2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIMT-CIF-2.8
Paper Title ROBUST CAMERA POSE ESTIMATION FOR IMAGE STITCHING
Authors Laixi Shi, Carnegie Mellon University, United States; Dehong Liu, Jay Thornton, Mitsubishi Electric Research Laboratories, United States
SessionIMT-CIF-2: Computational Imaging 2
LocationArea I
Session Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Poster
Topic Computational Imaging Methods and Models: Sparse and Low Rank Models
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Camera pose estimation plays a crucial role in stitching overlapped images captured by a camera to achieve a broad view of interest. In this paper, we propose a robust camera pose estimation approach to stitching images of a large 3D surface with known geometry. In particular, given a collection of images, we first construct a relative pose matrix estimation of all image pairs from the collection, where each entry of the matrix is calculated by solving a perspective-n-point (PnP) problem over the corresponding pair of images. To continue, we jointly estimate all camera poses by solving an optimization problem that exploits the underlying rank-2 relative pose matrices and the joint sparsity of camera pose errors. Finally, images are projected on to the 3D surface of interest based on estimated camera poses for the subsequent stitching process. Numerical experiments demonstrate that our proposed method outperforms existing methods in terms of both camera pose estimation and image stitching quality.