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- W4200212944 abstract "Image stabilization is a precursor to visual navigation for the flapping wing. Flapping wing is a flexible and efficient bionic aircraft which can switch flight mode freely. It can fly as flexible as rotorcraft and can also be as efficient as fixed-wing. However, violent drift is generated among the image sequence due to the reciprocating periodic flapping of its wings, being hard to be compensated for by conventional methods. In this paper, we proposed a novel image stabilization method base on panoramic dense optical flow matching and employ the method on a self-developed ultra-light flapping wing X-FLAP which weighs only 5 <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$g$</tex> . The track and vibration of X-FLAP during flight is detected by the Vicon cameras for comprehension of the source of image drift. Furthermore, the proposed method is formulated using the mathematic model of the optical flow and the particle swarm optimization algorithm (PSO). The motion matching algorithm is proposed that is based on the above model and is proven by the experimental results." @default.
- W4200212944 created "2021-12-31" @default.
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- W4200212944 date "2021-10-15" @default.
- W4200212944 modified "2023-09-27" @default.
- W4200212944 title "Image Stabilization Based on Panoramic Dense Optical Flow Matching for Camera on Flapping Wing" @default.
- W4200212944 doi "https://doi.org/10.1109/icus52573.2021.9641228" @default.
- W4200212944 hasPublicationYear "2021" @default.
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