Unsupervised Rotation Factorization in Restricted Boltzmann Machines

Giuffrida, Mario Valerio; Tsaftaris, Sotirios A.

doi:10.1109/tip.2019.2946455

Cited by 6 publications

(1 citation statement)

References 33 publications

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“…There are two methods to solve the image rotation problem; the first method is digital image processing technology, which calculates the rotation angle between the rotated image and the original image and corrects it. However, due to the long processing time and large amount of calculation, it is not suitable for application in high dynamic photoelectric imaging systems (Giuffrida and Tsaftaris, 2020). Another method is a physical compensation method, which controls the scanning mirror motor and imaging detector to have their positions relatively static during the exposure time (Chang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Application of bilateral sliding mode predictive compound control in photoelectric tracking system

Ren

Yimin

2023

Transactions of the Institute of Measurement and Control

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This article focuses on the stable imaging problem of photoelectric imaging system that depends on the synchronous rotation of mirror and detector. When there is a relative movement between the mirror and the detector, it will cause image rotation, resulting in information loss and reduced tracking accuracy. It is difficult to achieve the high-precision synchronous movement between the mirror and the detector using the traditional unilateral control method. Different from the existing results of the traditional unilateral tracking method, this paper introduces the bilateral control structure in the field of robot teleoperation and proposes a novel compound control strategy based on the bilateral control structure. First, a robust disturbance observer is proposed to reduce the disturbance of the system, in which a new robust H∞ mixed sensitivity control algorithm is designed to optimize the filter. Then, a novel generalized sliding mode predictive (NSMP) control strategy based on hybrid reaching law is proposed to eliminate the image rotation problem caused by time delay. Besides, a new power function is designed to replace the switching function in the reaching law to reduce chattering. Finally, the finite time theory and the Lyapunov theory are used to prove that the proposed control scheme can ensure that the system is stable and reach its steady state in a finite time. The simulation results show the effectiveness of the proposed control scheme.

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Section: Introductionmentioning

confidence: 99%