Research On Camouflage Evaluation Based On Eye Movement Dat

The evaluation and research of camouflage is an important means to improve the survivability of the battlefield and protect oneself from attack.However,the current camouflage effect evaluation method can only use computer programs to extract the relevant parameters of the camouflage pattern and the background,and use similarity,characteristic waveforms and other methods for evaluation.This method can only evaluate a single static target with a single posture.Only 2D plane images can be evaluated,this method has greater limitations.Therefore,this research uses computeraided technology to evaluate and analyze the camouflage effect of camouflage in a three-dimensional mapping space based on eye movement data.The specific method is as follows:(1)A camouflage 3D mapping method based on Ricci curvature flow is proposed.The plane camouflage image has limitations to observe and may cause subjective errors.Therefore,this paper proposes a camouflage three-dimensional mapping method based on Ricci curvature flow.The three-dimensional model is mapped to a two-dimensional plane through conformal mapping.In the process,the Gaussian curvature angle value of each point on the surface is converted to the triangulation adjacent to each point.The grid measurement ensures that the three-dimensional surface information is not lost during the mapping process,realizes the conformal mapping of camouflage humanoid images,and provides 6 different forms of front,side and back in squatting and lying positions.(2)Various eye movement indicators for camouflage evaluation are proposed.First,the speed-threshold(I-VT)recognition eye movement classification algorithm is used to classify the fixation and saccade indexes,and the qualitative and quantitative indexes of fixation and saccade are proposed.Next,we use the number and duration samples based on events and time intervals to propose the indicator of Duration of interval;in the gaze-based eye movement indicators,use the coordinate system and data mapping of the head-mounted module.According to the fixation point and the number of fixations,the hit rate is proposed,and the Duration of fixation,the Duration of whole fixation and the Average duration of whole fixation are calculated;In the saccade-based eye movement indicators,according to the Number of saccades,the First saccade and the Amplitude of saccades,the Time to first saccade,the Amplitude of first saccade,the Peak velocity of saccade and the Peak velocity of first saccade are proposed.(3)Analyze the index of eye movement data and the result of subjective evaluation.This article first uses the Tobii Pro Glasses2 eye tracker to collect eye movement data,and then analyzes the eye movement data.Visually analyze the trajectory graph and heat map of eye tracking,and analyze the correlation between eye movement data.Secondly,use questionnaires to score the camouflage of camouflage subjectively.Finally,the consistency of camouflage evaluation between subjective and objective data is compared and analyzed.The experimental results prove that the human eye behavior is consistent with the objective eye movement data,and the experiment proves that the digital camouflage has a better camouflage effect.