eBoat300数码相机TWAIN驱动的设计

TWAIN协议是静态图像系统中图像获取设备与应用程序间的通信接口。文中结合佛山汇星阪田电子公司的e-Boat系列数码相机的开发,对数码相机图像采集TWAIN接口进行了分析。介绍了数码相机图像采集TWAIN接口的体系结构和工作机制,提出了TWAIN驱动程序的框架,通过Visual C .Net编写程序在数码相机SDK基础上实现了e-Boat300数码相机TWAIN驱动程序的设计和开发。试验证明,该框架能够很好地满足一般数码相机的TWAIN驱动设计要求。     

航空相机的模态分析及轴承模型的修改

为了研究航空相机的动态结构刚度,运用有限元分析和试验相结合的模态分析法获得系统的固有频率和模态振型.应用大型通用有限元软件MSC.Nastran/Patran建立了航空相机的有限元模型,分析得出该相机的固有频率和模态.利用有限元分析结果中的模态振型指导试验模态分析中测点位置的选择,通过试验测得相机系统固有频率的实际值,并与有限元分析结果进行比较,验证了有限元分析的合理性,确定相机结构达到了设计性能指标.在有限元建模中采用改进的线性轴承模型后,降低了系统的计算难度,使有限元分析结果与试验值更加接近.     

Semantic Plane-Structure based motion detection with a nonstationary camera

This paper presents a novel method to accurately detect moving objects from a video sequence captured using a nonstationary camera. Although common methods provide effective motion detection for static backgrounds or through only planar-perspective transformation, many detection errors occur when the background contains complex dynamic interferences or the camera undergoes unknown motions. To solve this problem, this study proposed a motion detection method that incorporates temporal motion and spatial structure. In the proposed method, first, spatial semantic planes are segmented, and image registration based on stable background planes is applied to overcome the interferences of the foreground and dynamic background. Thus, the estimated dense temporal motion ensures that small moving objects are not missed. Second, motion pixels are mapped on semantic planes, and then, the spatial distribution constraints of motion pixels, regional shapes and plane semantics, which are integrated into a planar structure, are used to minimise false positives. Finally, based on the dense temporal motion and spatial structure, moving objects are accurately detected. The experimental results on CDnet dataset, Pbi dataset, Aeroscapes dataset, and other challenging self-captured videos under difficult conditions, such as fast camera movement, large zoom variation, video jitters, and dynamic background, revealed that the proposed method can remove background movements, dynamic interferences, and marginal noises and can effectively obtain complete moving objects.© 2017 ElsevierInc.Allrightsreserved.     

移动式表面流场测量技术及应用研究北大核心CSCD

本文开展明渠水槽桥墩绕流和推移质输沙试验,沿水槽方向使用高速相机进行移动拍摄,通过智能识别边壁控制点坐标对图像进行裁剪。通过形态学方法提取表面示踪粒子后,使用粒子追踪测速(PTV)技术和图像特征点识别测速(FMV)计算瞬时表面流场,根据流场位置对所测表面流场区域网格化后进行插值计算,以获得较大范围的表面流场。结果表明:本文使用的移动式表面流场测量方法可提高表面流场的精度和测量范围,此方法拓宽了表面流场测量的应用工况;FMV方法在圆柱绕流试验中可更准确识别圆柱侧方及后方旋转强度较大的区域,所求断面平均流速分布曲线更符合水流特性;推移质运动过程发现紊流表面时均流速仍存在高低速流带结构现象,同时高流速条带对应沙垄而低流速条带对应沙脊处,这表明水流地形相互固定形成了稳定时均结构,也验证了大尺度流向涡模型的合理性。     

基于测量误差不确定性加权的快速相机位姿估计算法

在相机位姿估计任务中,参考点位置的测量容易受测量仪器或者所处环境影响,出现一定程度的测量误差,其中误差较大的点对最终求解精度的影响很大,被称为野值点。文章针对现有算法抗野值点能力较弱的问题,提出一种基于测量误差不确定性加权的快速相机位姿估计算法。该算法以经典的正交迭代算法为基础,引入M估计方法,对目标函数根据参考点的测量误差赋予相应大小的权值,最大程度地将野值点的影响排除,并引入Kronecker积对计算过程进行优化,减少了迭代过程中的冗余计算,提高运算速度。仿真实验结果表明,改进后的算法提升了原算法的抗野值点能力,且计算速度更快。     

空间冷光学长波红外相机的设计与验证

为满足红外成像产品在复杂多变环境下的适应性并实现产品的使用功能,对空间冷光学长波红外相机设计进行了研究。首先进行了相机的结构设计;然后运用Partarn/Nastran有限元软件对相机进行了分析,探究了温降和重力对各透镜面形的影响,计算了相机的前三阶模态,并对相机进行了波像差测试;最后在真空低温环境下完成了相机的调制传递函数(Modulation Transfer Function, MTF)测试。试验结果表明,相机中心视场面形的均方根(Root Mean Square, RMS)值优于1/50λ,MTF计算值为0.18719,满足低温红外相机成像的精度要求。     

Motion detection in moving camera videos using background modeling and FlowNet

Real-time moving object detection is challenging for moving cameras due to the moving background. Many studies use homography matrix to compensate for global motion by warping the background model to the current frame. Then, the pixel difference between the current frame and the background model is used for background subtraction. Moving pixels are extracted by applying adaptive threshold and some post-processing techniques. On the other hand, deep learning-based dense optical flow can be efficient enough to extract the moving pixels, but it increases computational cost. This study proposes a method to enhance a classical background modeling method with deep learning-based dense optical flow. The main contribution of this paper is to propose a fusing algorithm for dense optical flow and background modeling approach. The background modeling methods are error-prone, especially with continuous camera movement, while the optical flow method alone may not always be efficient. Our hybrid method fuses both techniques to improve the detection accuracy. We propose a software architecture to run background modeling and dense optical flow methods in parallel processes. The proposed implementation approach significantly increases the method’s working speed, while the proposed fusion and combining strategy improve detection results. The experimental results show that the proposed method can run at high speed and has satisfying performance against the methods in the literature.     

基于机器视觉的机器人辨识及分拣盒装香烟的系统

运用机器视觉技术和机器人技术设计并实现了一种识别、分拣盒装香烟的系统,以提高识别准确率和分拣效率。该系统通过USB摄像头采集烟盒图像信息,从烟盒的特征检测入手,利用Matlab工具对香烟条形码、烟盒颜色和字迹字符三个方面进行处理分析,识别出真伪香烟,并随即通过控制机器人手爪对识别出的香烟进行分拣。     

基于Modbus/TCP的智能相机通信接口实现

在工业现场的机器视觉检测系统中,智能相机通信数据量庞大,因此其对通信接口的可靠性和实时性提出了较高的要求,针对此问题设计并实现了一种基于Mdobus/TCP协议的智能相机通信接口。结合嵌入式技术,给出了基于服务器/客户端模式的智能相机系统的硬件结构设计,并详细说明了智能相机通信接口的软件实现过程。将智能相机设计为服务器端,使智能相机可以同时和多客户端设备通信,提高了智能相机通信接口的可靠性;在协议中加入Mdobus/TCP自定义功能码,使智能相机与客户端可以通信大数据量的文件,提高了智能相机通信接口的灵活性和实时性,更好地满足了机器视觉系统的通信需求。目前采用该通信接口的智能相机已经应用于工业现场的产品质量检测,提高了工厂的生产效率和产品质量,取得了良好的成效。     

基于角度不变的线阵推扫式CCD相机几何畸变在轨检校方法

对航天遥感相机进行在轨检校,是提高卫星产品质量,扩大产品应用效果的重要技术内容.文中研究了一种基于角度不变的线阵推扫式CCD相机几何畸变在轨检校方法.该方法利用相机外方元素对于相机视向量夹角角度影响比较小的原理,根据地面控制点和一级产品图像,求解相机视向量夹角,从中提取相机光学部件的畸变模型参数,从而实现相机内外方元素解耦.相机畸变模型采用一维3阶多项式,对焦距和主点等引起的低阶误差能够很好地吸收.该方法用在HJ-1A/B卫星的宽幅盖CCD相机几何畸变校正上,检校误差残留在2—6个像元,和参考数据精度相似,表明取得了很好的校正效果.