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Quantum Motion Segmentation
F. Arrigoni, W. Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik·March 24, 2022·DOI: 10.48550/arXiv.2203.13185
Computer Science
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Abstract
Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images. This paper introduces the first algorithm for motion segmentation that relies on adiabatic quantum optimization of the objective function. The proposed method achieves on-par performance with the state of the art on problem instances which can be mapped to modern quantum annealers.