The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in ...The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.展开更多
Background and objectives:Current technology of X-ray imaging can recognize hard foreign materials(FMs)such as metal and high-density plastic.However,low-density foreign bodies are still a challenge for food quality a...Background and objectives:Current technology of X-ray imaging can recognize hard foreign materials(FMs)such as metal and high-density plastic.However,low-density foreign bodies are still a challenge for food quality and safety assessment.Materials and methods:An electromagnetic vibration feeder aided by terahertz time-domain spectroscopy(THz-TDS)and imaging was inves-tigated for non-destructively detecting tea stalk and insect FMs mixed with tea leaves.Results:THz time-domain signals were employed directly to develop the K-nearest neighbor model with a precision of 100%,accuracy of 95.6%and recall of 98.7%in predicting the unknown samples.High contrast THz-TDS images were obtained by the separation method for the samples using electromagnetic vibration feeder.The characteristic parameters of the ratio of maximum length(L)to maximum width(W)and hue extracted from THz-TDS images indicated significant difference between tea leaves and FMs.Conclusions:The results suggested that electromagnetic vibration feeder combination with THz-TDS was feasible for detecting FMs in fin-ishingteaproducts.展开更多
基金supported by the Medical Special Cultivation Project of Anhui University of Science and Technology(Grant No.YZ2023H2B013)the Anhui Provincial Key Research and Development Project(Grant No.2022i01020015)the Open Project of Key Laboratory of Conveyance Equipment(East China Jiaotong University),Ministry of Education(KLCE2022-01).
文摘The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.
基金supported by the National Natural Science Foundation of China(No.31960497)the Natural Science Foundation of Jiangxi Province(No.20202BAB205009),China.
文摘Background and objectives:Current technology of X-ray imaging can recognize hard foreign materials(FMs)such as metal and high-density plastic.However,low-density foreign bodies are still a challenge for food quality and safety assessment.Materials and methods:An electromagnetic vibration feeder aided by terahertz time-domain spectroscopy(THz-TDS)and imaging was inves-tigated for non-destructively detecting tea stalk and insect FMs mixed with tea leaves.Results:THz time-domain signals were employed directly to develop the K-nearest neighbor model with a precision of 100%,accuracy of 95.6%and recall of 98.7%in predicting the unknown samples.High contrast THz-TDS images were obtained by the separation method for the samples using electromagnetic vibration feeder.The characteristic parameters of the ratio of maximum length(L)to maximum width(W)and hue extracted from THz-TDS images indicated significant difference between tea leaves and FMs.Conclusions:The results suggested that electromagnetic vibration feeder combination with THz-TDS was feasible for detecting FMs in fin-ishingteaproducts.
