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Research on A Quantitative Assessment Model Based on Visual Perception in Low-Altitude Remote Sensing

In order to evaluate the recovery effect of the visible light band in the low-altitude remote sensing, the sensitivity and significance of the visual perception of the restored image are selected and optimized by the perceptual characteristics of the human visual system. Finally, the effective detail retention ability, Structure information, multi - scale similarity and visual fidelity. A kind of image - based image fog quantification evaluation model QAMVP is proposed based on visual

Jianqiang Lu, Weixing Wang, Kexin Chen, Bing Jiang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 166–170

Research paper

The influence of mood on visual perception of neutral material

Miroslaw Wyczesany, Tomasz S. Ligeza, Agnieszka Tymorek, Agnieszka Adamczyk

Acta Neurobiologiae Experimentalis , ISSUE 2, 163–172



which aimed to develop enabling technology especially in here for tracking motorcycle using camera. This paper is presented our proposed tracker which called as Geometric Deep Particle Filter (GDPF) for tracking motorcycle using camera. The tracker is inspired by human visual perception which has nonretinotopic nature. Based on particle filter approach, our goal is to improve the transition model in order to overcome motorcycle maneuver. We will exploit this curved nature of the state space using

Alexander A S Gunawan, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 429–463

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