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Total score of the computer vision syndrome questionnaire predicts refractive errors and binocular vision anomalies
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作者 Mosaad Alhassan Tasneem Samman +5 位作者 Hatoun Badukhen Muhamad Alrashed Balsam Alabdulkader Essam Almutleb Tahani Alqahtani Ali Almustanyir 《International Journal of Ophthalmology(English edition)》 2026年第1期90-96,共7页
AIM:To evaluate the efficacy of the total computer vision syndrome questionnaire(CVS-Q)score as a predictive tool for identifying individuals with symptomatic binocular vision anomalies and refractive errors.METHODS:A... AIM:To evaluate the efficacy of the total computer vision syndrome questionnaire(CVS-Q)score as a predictive tool for identifying individuals with symptomatic binocular vision anomalies and refractive errors.METHODS:A total of 141 healthy computer users underwent comprehensive clinical visual function assessments,including evaluations of refractive errors,accommodation(amplitude of accommodation,positive relative accommodation,negative relative accommodation,accommodative accuracy,and accommodative facility),and vergence(phoria,positive and negative fusional vergence,near point of convergence,and vergence facility).Total CVS-Q scores were recorded to explore potential associations between symptom scores and the aforementioned clinical visual function parameters.RESULTS:The cohort included 54 males(38.3%)with a mean age of 23.9±0.58y and 87 age-matched females(61.7%)with a mean age of 23.9±0.53y.The multiple regression model was statistically significant[R²=0.60,F=13.28,degrees of freedom(DF=17122,P<0.001].This indicates that 60%of the variance in total CVS-Q scores(reflecting reported symptoms)could be explained by four clinical measurements:amplitude of accommodation,positive relative accommodation,exophoria at distance and near,and positive fusional vergence at near.CONCLUSION:The total CVS-Q score is a valid and reliable tool for predicting the presence of various nonstrabismic binocular vision anomalies and refractive errors in symptomatic computer users. 展开更多
关键词 computer vision syndrome refractive errors ACCOMMODATION VERGENCE binocular vision SYMPTOMS
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Comparison of binocular vision indices in Parkinson’s disease patients vs age-sex-matched healthy controls
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作者 Reyhaneh Shariati-Moghaddam Ali Shoeibi +6 位作者 Morad Amir Ahmad Hadi Ostadimoghaddam Hassan Hashemi Akbar Derakhshan Zahra Hemmatian Abbasali Yekta Mehdi Khabazkhoob 《International Journal of Ophthalmology(English edition)》 2026年第3期549-555,共7页
AIM:To evaluate the differences in near point of convergence(NPC),fusional vergence,saccadic eye movements,versional eye movements,and heterophoria between patients diagnosed with Parkinson’s disease(PD)and healthy s... AIM:To evaluate the differences in near point of convergence(NPC),fusional vergence,saccadic eye movements,versional eye movements,and heterophoria between patients diagnosed with Parkinson’s disease(PD)and healthy subjects.METHODS:A cross-sectional comparative study was conducted,enrolling two cohorts:a PD group and a healthy control group.The PD group was recruited via non-random convenience sampling,while the control group was selected randomly from individuals without PD.All participants were screened according to predefined inclusion and exclusion criteria before undergoing a comprehensive optometric assessment,which included measurements of uncorrected visual acuity,corrected visual acuity,and objective and subjective refraction.Subsequently,binocular vision function evaluations were performed,covering NPC measurement,fusional vergence reserve assessment at both distance and near,saccadic eye movement testing,and versional eye movement and heterophoria assessment.RESULTS:A total of 42 PD patients and 41 healthy controls were included in the final analysis.The two groups were well-matched in terms of sex distribution[29 males(69.0%)in the PD group vs 29 males(70.7%)in the control group,P=0.867]and mean age(55.3±9.6y in the PD group vs 54.9±9.8y in the control group,P=0.866).The prevalence of abnormal versional eye movements was significantly higher in the PD group than in the control group(23.81%,95%CI:12.05%-39.45%vs 7.32%,95%CI:1.54%-19.92%;P=0.025).Near exophoria was more prevalent in PD patients(61.90%,95%CI:45.64%-76.43%)than in controls(17.07%,95%CI:7.15%-32.06%),with a significant difference[odds ratio(OR)=7.99;95%CI:2.83-21.99;P<0.001].The mean NPC was significantly greater(more receded)in the PD group than in the control group(9.01±3.74 cm vs 7.20±2.15 cm;P=0.007).A statistically significant positive correlation was observed between PD severity and NPC values(Pearson’s correlation coefficient=0.309;P=0.046).Except for distance baseout break and distance base-out recovery values,all other fusional vergence parameters were significantly lower in the PD group than in the control group(P<0.05).The mean saccadic test score was significantly lower in PD patients than in controls(3.29±0.57 vs 3.78±0.42;P<0.001).Among all fusional vergence indices,near base-in blur yielded the highest area under the curve(AUC=0.877),with a sensitivity of 69%and specificity of 90%,followed by distance base-out blur(AUC=0.824,sensitivity=97.6%,specificity=66.7%),near base-out blur(AUC=0.814,sensitivity=76.2%,specificity=72.7%),near base-out break(AUC=0.749,sensitivity=78.6%,specificity=67.6%),and near base-out recovery(AUC=0.749,sensitivity=95.2%,specificity=50%).CONCLUSION:PD is associated with significant binocular vision function impairment,with receded NPC and reduced near fusional vergence reserves being the most prominent disorders.These findings highlight the potential value of binocular vision assessment as a non-invasive biomarker for the early detection and clinical monitoring of PD. 展开更多
关键词 Parkinson’s disease binocular vision near point of convergence fusional vergence saccadic eye movement HETEROPHORIA
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A Novel Self-Supervised Learning Network for Binocular Disparity Estimation 被引量:1
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作者 Jiawei Tian Yu Zhou +5 位作者 Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第1期209-229,共21页
Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This st... Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This study proposes a novel end-to-end disparity estimation model to address these challenges.Our approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting interferences.This study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and efficiency.The model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video data.Experimental results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing parameters.Moreover,the model exhibited faster convergence during training,contributing to overall performance enhancement.This study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments. 展开更多
关键词 Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation
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Binocular vision disorders and refractive errors on university students’quality of life 被引量:1
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作者 Raheleh Moravej Alireza Jamali +6 位作者 Navidreza Zamani Fatemeh Azad Shahraki Abbas Ali Yekta Hadi Ostadimoghaddam Nasim Vaghefi Hamidreza Ghadimi Mehdi Khabazkhoob 《International Journal of Ophthalmology(English edition)》 2025年第4期707-715,共9页
AIM:To evaluate the effects of refractive errors and binocular vision anomalies on the quality of life(QOL)of university students.METHODS:This cross-sectional analytical study was conducted on university students usin... AIM:To evaluate the effects of refractive errors and binocular vision anomalies on the quality of life(QOL)of university students.METHODS:This cross-sectional analytical study was conducted on university students using simple random sampling.Objective refraction,ocular alignment,vergence and accommodative performance were measured and assessed in all participants.Data on QOL were collected using the College of Optometrists in Vision Development-Quality of Life(COVD-QOL)Questionnaire.The effect of mentioned parameters on the QOL were evaluated.RESULTS:Totally 726 students with mean age of 21.35±1.88y were evaluated in this study,51.5%of whom were female.Esophoria was caused significantly lower QOL in the domains of somatic symptoms and occupationalphysical symptoms(P<0.05);Besides,esotropia decreased QOL in domains of somatic symptoms P=0.002 and psychological factors(P=0.023).Students with accommodation insufficiency experienced more symptoms in all domains(P<0.05)except for psychological factors(P=0.07).Increasing in the near point of convergence and accommodation and decreases QOL and increasing accommodative facility increases QOL(all P<0.05).Myopia and astigmatism cause decrease in QOL(both P<0.05),but hyperopic students had better QOL in comparison with others(P<0.05).CONCLUSION:Screening programs and treatment of refractive errors and binocular vision anomalies,especially phoria and accommodative insufficiency,positively impact the QOL and academic achievements of university students. 展开更多
关键词 quality of life binocular vision disorders refractive errors ACCOMMODATION CONVERGENCE university students
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Passive Binocular Optical Motion Capture Technology Under Complex Illumination
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作者 FU Yujia ZHANG Jian +4 位作者 ZHOU Liping LIU Yuanzhi QIN Minghui ZHAO Hui TAO Wei 《Journal of Shanghai Jiaotong university(Science)》 2025年第2期352-362,共11页
Passive optical motion capture technology is an effective mean to conduct high-precision pose estimation of small scenes of mobile robots;nevertheless,in the case of complex background and stray light interference in ... Passive optical motion capture technology is an effective mean to conduct high-precision pose estimation of small scenes of mobile robots;nevertheless,in the case of complex background and stray light interference in the scene,due to the infuence of target adhesion and environmental reflection,this technology cannot estimate the pose accurately.A passive binocular optical motion capture technology under complex illumination based on binocular camera and fixed retroreflective marker balls has been proposed.By fixing multiple hemispherical retrorefective marker balls on a rigid base,it uses binocular camera for depth estimation to obtain the fixed position relationship between the feature points.After performing unsupervised state estimation without manual operation,it overcomes the infuence of refection spots in the background.Meanwhile,contour extraction and ellipse least square fitting are used to extract the marker balls with incomplete shape as the feature points,so as to solve the problem of target adhesion in the scene.A FANUC m10i-a robot moving with 6-DOF is used for verification using the above methods in a complex lighting environment of a welding laboratory.The result shows that the average of absolute position errors is 5.793mm,the average of absolute rotation errors is 1.997°the average of relative position errors is 0.972 mm,and the average of relative rotation errors is 0.002°.Therefore,this technology meets the requirements of high-precision measurement in a complex lighting environment when estimating the 6-DOF-motion mobile robot and has very significant application prospects in complex scenes. 展开更多
关键词 complex scenes pose estimation binocular camera fixed retroreflective target least square fitting
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Femtosecond laser small incision lenticule extraction on binocularity for myopia with glasses-free 3D technique
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作者 Bing-Jie Chen Yu-Chen Fan Yong-Chuan Liao 《International Journal of Ophthalmology(English edition)》 2025年第1期125-131,共7页
AIM:To evaluate the effect of femtosecond laser small incision lenticule extraction(SMILE)on the binocular visual function in myopic patients with glasses-free threedimensional(3D)technique.METHODS:Totally 50 myopic p... AIM:To evaluate the effect of femtosecond laser small incision lenticule extraction(SMILE)on the binocular visual function in myopic patients with glasses-free threedimensional(3D)technique.METHODS:Totally 50 myopic patients(39 females and 11 males)with SMILE were enrolled in this prospective study.The glasses-free 3D technique was used to evaluate the binocular visual function in these subjects including static stereopsis,dynamic stereopsis,foveal suppression,and binocular balance point of signal to noise ratio(s/n ratio).All subjects received measurements in 1d before operation,and 1d,1wk,and 1mo postoperatively.RESULTS:Both static and dynamic stereopsis showed no significant difference after SMILE.The foveal suppression improved significantly 1wk and 1mo after SMILE(P=0.005 and P=0.007 respectively).The binocular balance point of signal to noise ratio showed a significant improvement 1d,1wk and 1mo after SMILE for both eyes(P<0.001 for each eye respectively).CONCLUSION:Glasses-free 3D technique can be used to evaluate the effect of SMILE on the binocular visual function in myopic patients perceptively,and SMILE can improve both foveal suppression and binocular imbalance in these patients. 展开更多
关键词 MYOPIA small incision lenticule extraction foveal suppression binocular imbalance glasses-free threedimensional technique
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Polarimetric binocular three‑dimensional imaging in turbid water with multi‑feature self‑supervised learning
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作者 Linghao Shen Liping Zhang +5 位作者 Pengfei Qi Xun Zhang Xiaobo Li Yizhao Huang Yongqiang Zhao Haofeng Hu 《PhotoniX》 2025年第1期394-414,共21页
Polarization imaging provides significant advantages in underwater environments.However,existing polarization underwater imaging methods primarily focus on leveraging polarization information to suppress the scatterin... Polarization imaging provides significant advantages in underwater environments.However,existing polarization underwater imaging methods primarily focus on leveraging polarization information to suppress the scattering effect to achieve the clear vision,while neglecting other valuable information contained in polarization images,such as the scene depth and the polarization characteristics of the objects.This paper proposes a self-supervised three-dimensional underwater imaging method based on a polarization binocular imager.In addition to improving image quality in turbid water based on polarization imaging,the proposed method merges features from both the enhanced binocular images recovered from polarization information and the feature-rich degree of polarization images into the self-supervised framework to estimate disparities of the scene,achieving high-quality reconstruction of underwater scene depth.We then design multiple self-supervised losses that effectively integrate depth information obtained from both binocular imaging and polarization imaging to guide the learning process.Meanwhile,the proposed method can recover the polarization information of the objects in turbid water,thus enhancing the perception of target properties such as the materials of the objects.Both the simulated experiment and the real-world experiments in the sea demonstrate the effectiveness and superiority of the proposed method. 展开更多
关键词 Underwater imaging Polarimetric binocular imaging Depth estimation Self-supervised learning
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基于单帧连续编码条纹的半全局立体匹配测量方法
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作者 杨成禹 黄晨雷 +2 位作者 张世达 林雪竹 李丽娟 《红外与激光工程》 北大核心 2026年第1期328-342,共15页
为了解决双目立体测量时,散斑结构光法受到投影质量和离散编码特性制约难以实现弱纹理区域精确匹配的问题,提出了一种基于单帧连续编码条纹的半全局立体匹配测量方法。在编码方面,设计了一种与半全局立体匹配路径相关的单帧连续编码条纹... 为了解决双目立体测量时,散斑结构光法受到投影质量和离散编码特性制约难以实现弱纹理区域精确匹配的问题,提出了一种基于单帧连续编码条纹的半全局立体匹配测量方法。在编码方面,设计了一种与半全局立体匹配路径相关的单帧连续编码条纹,实现对空间高效且鲁棒的特征编码。在算法方面,针对编码条纹改进了代价初始化方法,为立体匹配提供高质量的初始代价;同时引入自适应分区域并行计算和分层视差预测加速机制,提高了测量效率。实验结果表明:文中方法对距离1 m的弧形弱纹理样件实现了正确匹配率为92.77%,均方根误差为0.89mm的高分辨率精确测量。在0.5~4.0 m的深度范围内,平面测量误差在2.0 m处为1.54、4.0 m处为3.89mm,台阶高度测量在2.0 m处平均绝对误差优于1.25mm,均方根误差优于1.45mm,证明了该方法在较大范围内的平面感知与平面间深度测量的能力。通过与现有双目散斑结构光法及商用双目散斑深度相机的对比试验证明,文中方法能在较大深度范围内稳定完成立体匹配,具备较高的精度和鲁棒性,在工业三维感知领域存在良好的发展潜力。 展开更多
关键词 结构光 双目视觉 半全局立体匹配 三维重建 图像处理
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基于梯度感知融合的异形构件表面缺陷高精度三维重建
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作者 张丹丹 何剑波 +2 位作者 张世达 任姣姣 顾健 《仪器仪表学报》 北大核心 2026年第1期145-157,共13页
针对异形结构件曲率多变、光照不均匀及缺乏规则基准,导致表面缺陷区域三维形态难以精确重建,且双目视觉方法存在匹配精度低、速率慢的问题,故提出一种基于梯度感知融合(GAF)的GAF-Census快速立体匹配算法,以实现缺陷区域的高精度三维... 针对异形结构件曲率多变、光照不均匀及缺乏规则基准,导致表面缺陷区域三维形态难以精确重建,且双目视觉方法存在匹配精度低、速率慢的问题,故提出一种基于梯度感知融合(GAF)的GAF-Census快速立体匹配算法,以实现缺陷区域的高精度三维重建与尺寸量化。首先,在代价计算阶段引入SIFT特征匹配引导的视差范围约束机制,缩小搜索空间以提升效率;同时采用基于关键点中值滤波的自适应Census变换,通过动态阈值替换受污染的中心像素,增强算法抗噪性。其次,构建了梯度感知代价融合机制:在边缘区域强化梯度约束以精确定位缺陷轮廓,在弱纹理区域增加Census权重提升匹配稳定性,从而显著改善关键区域的匹配精度。最后,针对异形构件缺陷量化难题,提出基于五次多项式全局拟合与数值积分的方法,实现缺陷尺寸的自动化高精度测量。实验结果表明,所提GAF-Census算法在标准及自制样本上的误匹配率最低至5.25%,运行效率较传统AD-Census算法最高提升96.7%;缺陷宽度与长度测量的平均相对误差分别低至0.483%与0.271%,系统可识别最小缺陷宽度达0.354 mm。在复杂光照与几何突变环境下,算法仍保持较高的重建完整度与测量稳定性,展现出良好的工程适用性,为异形构件表面缺陷的自动化高精度量化监测提供了可靠的技术手段。 展开更多
关键词 异形构件 双目视觉 立体匹配 缺陷检测 三维重建
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改进CLOCs的3D目标检测网络
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作者 车俐 徐小勇 蒋留兵 《计算机应用与软件》 北大核心 2026年第1期178-184,240,共8页
随着自动驾驶的发展,多传感器融合得到广泛应用。CLOCs是基于后融合的3D目标检测网络,但它对遮蔽物体的检测性能较差。针对此问题,提出一种融合双目测距和门控循环单元(Gated Recurrent Unit,GRU)的3D目标检测网络,其在CLOCs网络融合3D... 随着自动驾驶的发展,多传感器融合得到广泛应用。CLOCs是基于后融合的3D目标检测网络,但它对遮蔽物体的检测性能较差。针对此问题,提出一种融合双目测距和门控循环单元(Gated Recurrent Unit,GRU)的3D目标检测网络,其在CLOCs网络融合3D和2D的交并比(Intersection over Union,IoU)的基础上,在2D目标检测网络中引入双目测距来关联2D和3D的深度信息,在卷积之后加入GRU网络,用来捕捉时序数据的依赖关系。采用kitti数据集进行验证,实验结果表明检测精度得到了提升。 展开更多
关键词 3D目标检测 双目测距 多传感器融合 CLOCs GRU
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UHPC护栏中心孔检测与定位技术研究
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作者 张喜清 韩倩倩 +2 位作者 李占龙 任逸飞 王鹏宇 《华中科技大学学报(自然科学版)》 北大核心 2026年第3期181-188,共8页
针对在智能化转运超高性能混凝土(UHPC)护栏过程中须精确定位护栏中心孔位置这一问题,提出一种基于改进YOLOv8的多模态融合识别定位技术:以YOLOv8为基线模型,引入小目标检测层、在backbone添ADSConv模块以替代标准卷积、改用轻量化分割... 针对在智能化转运超高性能混凝土(UHPC)护栏过程中须精确定位护栏中心孔位置这一问题,提出一种基于改进YOLOv8的多模态融合识别定位技术:以YOLOv8为基线模型,引入小目标检测层、在backbone添ADSConv模块以替代标准卷积、改用轻量化分割头EfficientSeg;结合双目视觉技术,利用SGBM算法进行深度计算,通过手眼标定实现空间坐标映射,得到护栏中心孔的位置信息.实验结果表明:优化后的ADSE-seg模型在分割任务中mAP50-95提升10.3%,召回率提升5.7%,参数量减少23.1%,实时推理速度达208.3帧数/s;旋转角度误差为0.446°、平均深度检测误差为2.542%、平面定位误差为11.738%和11.796%,满足护栏转运场景对精度与实时性的双重要求. 展开更多
关键词 UHPC护栏转运 YOLOv8 双目视觉 ADSE-seg ADSConv EfficientSeg
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弱纹理环境下点线融合鲁棒视觉SLAM算法
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作者 杨官学 刘岳松 +2 位作者 刘慧 沈跃 沈亚运 《计算机工程与应用》 北大核心 2026年第2期313-324,共12页
针对弱纹理和变光照环境下基于点特征的视觉SLAM(simultaneous localization and mapping)算法轨迹漂移的问题,提出了一种基于改进自适应阈值ELSED算法(Adaptive-ELSED)的快速点线融合双目视觉SLAM算法。通过在ELSED算法中添加自适应阈... 针对弱纹理和变光照环境下基于点特征的视觉SLAM(simultaneous localization and mapping)算法轨迹漂移的问题,提出了一种基于改进自适应阈值ELSED算法(Adaptive-ELSED)的快速点线融合双目视觉SLAM算法。通过在ELSED算法中添加自适应阈值矩阵,动态调整不同光照条件下梯度阈值,并使用长度抑制和短线合并策略,提高线特征的质量。利用基于双目几何约束和图像结构相似性(SSIM)进行快速线段特征三角化。基于历史位姿及误差分析获取初始位姿,通过自适应因子实现光束法平差过程中点线特征的更有效融合。实验结果表明,所提算法在提高线特征质量的同时,耗时仅为LSD算法的50%,线特征匹配速度较传统LBD算法提升67%,挑战性场景下轨迹误差较ORB-SLAM3降低62.2%,系统的平均跟踪帧率为27帧/s,在保证系统实时性的同时,显著提升了系统在弱纹理、变光照环境下的精度和鲁棒性。 展开更多
关键词 双目视觉 弱纹理 视觉同步定位与地图构建(SLAM) 点线特征 特征匹配
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测量大型高温锻件直径的双目视觉系统外参数标定方法
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作者 王邦国 朱宇轩 +4 位作者 谢景卫 郑新毅 李建 孙丽 徐鑫 《锻压技术》 北大核心 2026年第3期254-260,共7页
双目视觉系统可通过拍摄大型高温锻件的图像实现高温锻件尺寸的非接触测量。测量锻件尺寸前需要标定双目视觉系统的外参数,标定过程如下:首先,根据标定的双目视觉系统中两个相机的内参数初步确定视觉系统的外参数,所求外参数与实际外参... 双目视觉系统可通过拍摄大型高温锻件的图像实现高温锻件尺寸的非接触测量。测量锻件尺寸前需要标定双目视觉系统的外参数,标定过程如下:首先,根据标定的双目视觉系统中两个相机的内参数初步确定视觉系统的外参数,所求外参数与实际外参数相差一个比例因子;然后,使用双目视觉系统拍摄两个标识点的图像并进行三维重建;最后,利用双经纬仪测量系统测量两个标识点的实际距离。两个标识点间的实际距离与三维重建距离的比值即为比例因子,进一步可通过比例因子求得双目视觉系统中两个相机的外参数。大型高温锻件尺寸测量实验表明,所标定的双目视觉系统外参数可用于直径小于Φ1200 mm的大型高温锻件的直径测量,室温下的圆柱形工件直径的测量误差为±0.72%,验证了该系统在高温锻件尺寸测量中的可行性与精度。 展开更多
关键词 高温锻件 双目视觉系统 外参数标定 直径测量 三维重建 比例因子
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人工驾驶灵活型穿越林间除草机的设计与试验研究
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作者 孟兆新 石育睿 +2 位作者 马天元 姜涛 梁韬 《林业机械与木工设备》 2026年第2期59-64,共6页
平地森林的松树较高,间距不一,大型林业除草机械难以进入,精准除草是提高林地除草效率的关键。设计了一种包含行间除草装置、株间除草装置和智能控制系统的除草机,通过双目相机采集除草机前方的树木位置信息,将信息传递到PC后,通过YOLO... 平地森林的松树较高,间距不一,大型林业除草机械难以进入,精准除草是提高林地除草效率的关键。设计了一种包含行间除草装置、株间除草装置和智能控制系统的除草机,通过双目相机采集除草机前方的树木位置信息,将信息传递到PC后,通过YOLOv11目标检测算法与PLC系统实时调控液压杆伸缩来适应树木间距。结果表明,基于YOLOv11目标检测模型,树干的识别准确率达到了85.2%,平均精确度达到了92%,可以满足林间除草的工作需求。 展开更多
关键词 除草机 双目相机 PLC 实时检测定位
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基于双视角球面拟合的轻型货车外廓尺寸测量方法研究
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作者 李冰 王艳芳 《机械设计与制造工程》 2026年第1期87-92,共6页
提出了基于双视角球面拟合与车厢几何约束相结合的轻型货车外廓尺寸测量方法。该方法利用Kinect V2深度相机,从车辆正后方及正侧方两个视角采集货车点云数据,同时获取位于两视角交界处的标靶球点云信息,通过对标靶球点云进行球面拟合,... 提出了基于双视角球面拟合与车厢几何约束相结合的轻型货车外廓尺寸测量方法。该方法利用Kinect V2深度相机,从车辆正后方及正侧方两个视角采集货车点云数据,同时获取位于两视角交界处的标靶球点云信息,通过对标靶球点云进行球面拟合,计算其平移向量,并结合货车车厢的几何约束,实现点云的旋转拼接。随后,采用平面分割与镜像对称方法对车辆进行三维模型构建,准确检测车辆的长度、宽度和高度尺寸。针对车辆未水平停放导致相机坐标系下的车体点云倾斜问题,引入截面切片分析方法,有效减少了宽度测量误差。实验结果表明,通过该方法得到的车辆外廓尺寸,宽度和高度与实际值的误差均不超过±1.0%,长度误差不超过±2.5%。 展开更多
关键词 双目视觉 球面拟合 外廓尺寸测量 随机抽样一致算法
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基于双目结构光的泡沫塑料线性尺寸检测方法研究
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作者 高耀东 李明辉 杜志强 《制造业自动化》 2026年第2期33-39,共7页
泡沫塑料块的外观尺寸检测需满足高效与高精度的双重要求,针对手工检测泡沫塑料试样线性尺寸存在的效率低、精度差等问题,研发了基于双目结构光的泡沫块外观尺寸检测方法。通过对点云进行平面分割并进行边缘提取得到泡沫块的棱边模型,... 泡沫塑料块的外观尺寸检测需满足高效与高精度的双重要求,针对手工检测泡沫塑料试样线性尺寸存在的效率低、精度差等问题,研发了基于双目结构光的泡沫块外观尺寸检测方法。通过对点云进行平面分割并进行边缘提取得到泡沫块的棱边模型,继而计算线性尺寸。并且针对边缘点云的缺陷提出一种基于投影标准差的边长计算自适应补偿方法,可以对不同的缺陷棱边进行补偿计算,实现了对泡沫塑料试样线性尺寸的自动化非接触测量。实验结果表明,该方法对泡沫塑料试样线性尺寸测量的极差、绝对误差均低于0.1 mm,单次测量时间低于15 s,测量精度和效率显著优于传统人工方法,可有效满足工业现场的实际应用需求。 展开更多
关键词 尺寸测量 泡沫塑料 双目结构光 点云处理
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基于大数据的智能车辆自主双目视觉导航技术
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作者 王宇翔 《机械设计与制造工程》 2026年第3期114-118,共5页
单目视觉难以准确检测障碍物空间位置,导致自主导航的视觉感知能力不足,为此提出基于大数据的智能车辆自主双目视觉导航技术。通过大数据技术挖掘车辆行驶场景的路径信息,生成相应的路网结构;预测各路线的OD流量,并选择最优行驶路径;结... 单目视觉难以准确检测障碍物空间位置,导致自主导航的视觉感知能力不足,为此提出基于大数据的智能车辆自主双目视觉导航技术。通过大数据技术挖掘车辆行驶场景的路径信息,生成相应的路网结构;预测各路线的OD流量,并选择最优行驶路径;结合双目视觉技术,采用Gabor滤波器识别并确定障碍物具体位置;将偏移量分配到车辆左右轮转向,完成对动力执行参数的动态更新,实现智能车辆自主导航。实验结果表明,该技术对障碍物的平均深度测量误差为1.26 cm,平均碰撞次数为0.3次,具有优良的视觉感知能力与自主导航性能。 展开更多
关键词 车辆导航技术 智能车辆 自主导航 大数据 双目视觉
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基于YOLOv11的德化梨采摘机器人视觉定位设计
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作者 李滨 赖诗党 《森林工程》 北大核心 2026年第2期305-316,共12页
在德化梨种植中,人工采摘效率低下,且亩均人工成本占比超15%;传统机械采摘因装备刚性强,果实破损率常超20%,难以适配其果皮薄(0.2~0.3 mm)、果肉脆的特性。针对这一产业痛点,设计一款“仿生末端执行器+YOLOv11视觉定位”一体化采摘机器... 在德化梨种植中,人工采摘效率低下,且亩均人工成本占比超15%;传统机械采摘因装备刚性强,果实破损率常超20%,难以适配其果皮薄(0.2~0.3 mm)、果肉脆的特性。针对这一产业痛点,设计一款“仿生末端执行器+YOLOv11视觉定位”一体化采摘机器人系统。该系统核心包括六自由度机械臂、双目深度相机及电驱分离式末端执行器,执行器采用三指柔性夹持与剪切机构,兼顾无损抓取与果柄精准切断;视觉系统以YOLOv11为基础,引入全新的融合位置敏感空间注意力机制(C2PSA)模块强化果实与叶片特征区分,结合双目相机完成三维定位。基于福建德化梨(pear)园实测样本的试验表明,“pear”类别在置信度≥0.7时召回率保持0.85以上,F1最优值0.83(置信度为0.565),mAP50稳定于0.87。该方案可为德化梨自动化采摘提供技术支持,其设计思路对桃子、草莓等脆弱果实采摘装备研发具有参考价值。 展开更多
关键词 YOLOv11 采摘末端执行器 无损伤抓取 视觉定位 德化梨 三指柔性夹持 六自由度机械臂 双目深度相机
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Measurement method for cluster warhead's dispersion area based on binocular stereo vision technique 被引量:1
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作者 薛英娟 郝利华 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第2期123-128,共6页
Cluster warhead has become the main ammunition of gun,rocket projectile and missile and it has been widely equipped in almost every country.More and more attention is paid to the damage effect of cluster warhead.The s... Cluster warhead has become the main ammunition of gun,rocket projectile and missile and it has been widely equipped in almost every country.More and more attention is paid to the damage effect of cluster warhead.The size of the dispersion area of cluster warhead is the main standard by which the damage effect of cluster warhead is estimated.The practical method of measuring the dispersion area was developed based on binocular stereo vision measurement theory.The calibration principle of the binocular stereo vision cameras was studied.The matching algorithm that relies on the gradient fields of the neighborhood of a pixel has been used to obtain the spatial information of matched points by acquiring apair of corresponding points in the left and right images of binocular cameras.The 3Dpositions of the flying path of cluster warhead were calculated.The umbrella that is similar to the dispersion track of static explosive cluster warhead was applied in the experiment to get the projection area of the umbrella on the ground.Experiment results verify the feasibility of the proposed method. 展开更多
关键词 binocular stereo vision cluster warhead dispersion area
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基于多任务学习的无参考立体图像质量评价
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作者 张悦 程成 +2 位作者 陈豪 顾敏明 夏振平 《微电子学与计算机》 2026年第2期84-94,共11页
与平面图像质量评价相比,立体图像质量评价需要考虑左右视图双目融合和双目交互等复杂特性,因而更具挑战性。为此,结合人眼左右视觉感知特性,提出了一种多任务学习的无参考立体图像质量评价网络。首先,建立双通道卷积神经网络用于左右... 与平面图像质量评价相比,立体图像质量评价需要考虑左右视图双目融合和双目交互等复杂特性,因而更具挑战性。为此,结合人眼左右视觉感知特性,提出了一种多任务学习的无参考立体图像质量评价网络。首先,建立双通道卷积神经网络用于左右视图的特征提取和质量预测任务;其次,设计一种自适应双目交互模块来模拟人类视觉系统视觉皮层的双目交互机制;最后,考虑到人眼双目融合和竞争的特性,又将左右视图特征的融合图像和视差图像与所提取的单目视图特征相互连接作为立体图像的特征,并以此评估立体图像质量。该方法在Waterloo-P1和Waterloo-P2公开数据集上的Pearson线性相关系数分别为0.976和0.982,Spearman等级相关系数分别为0.974和0.980,相比其他新近算法性能更优。实验结果表明:与单任务模型相比,所提方法获得了更好的性能,表现出与人类主观评价高度的一致性。此外,跨数据集实验也验证了该多任务学习模型的泛化能力,具有较好的普适性。 展开更多
关键词 立体图像 质量评价 多任务学习 双目融合 双目竞争
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