Multi-modal Image Stitching with Nonlinear Optimization

Saha, Arindam; Maity, Soumyadip; Bhowmick, Brojeshwar

doi:10.1109/icassp.2019.8683816

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…In recent years, many experts and scholars have conducted in-depth research on image Mosaic and achieved certain results. Brown [2] et al proposed an image Mosaic method based on scale-invariant feature transformation algorithm. This method has high robustness in image brightness changes and is basically not affected by scale changes, but its feature descriptor dimension is high, which is far from meeting the real-time requirements of image Mosaic.…”

Section: Introductionmentioning

confidence: 99%

An improved image mosaic algorithm for UAV

Xiangeng,

Xiaoyang

2023

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022)

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Aiming at the problems of ghosting and distortion in the process of UAV low-altitude aerial image Mosaic, an improved algorithm for UAV low-altitude aerial image Mosaic was proposed. The algorithm firstly through the SIFT features of UAV image image mosaicing, and then based on the SIFT algorithm in unmanned aerial vehicle (UAV) image matching problems that exist in the process, to improve the image matching in the process of feature extraction methods, effectively reduced the number of feature points extraction, and uses the direct average fusion method for low pass filter, get spliced images. The simulation results show that the algorithm can effectively solve the problems of ghost and distortion in the process of UAV image Mosaic, and the algorithm runs fast, which has certain military application value.

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Section: Introductionmentioning

confidence: 99%