The paper also discussed the theory of relation based product model, object class information structure, object classification framework, family class generic model based on the relation, and so on. 针对关系型产品模型,介绍了它的原理组成、对象类信息构成、对象分类框架和基于关系的族类属模型等内容。
Representation of Object Classification Curve by Dual-Energy X-ray Transmission Technology 双能量X射线透射条件下物质分类识别曲线的建立
An object classification algorithm is proposed in this paper used for video surveillance, which can classify moving objects into predefined four categories: human being, crowd, car and bicyclist. 提出了一种用于视频监控系统的运动目标分类算法,可以将运动目标分类为几种事先定义好的类别:人、人群、汽车、自行车。
Density-guided Tree-structured Kernel for Image Object Classification 基于密度导向的树型结构核的图像目标分类
In order to classify unknown3D objects into a set of pre-determined object classes, the paper proposes a3D object classification approach based on improved interpretation tree. 为了实现对未知三维物体的分类,提出了一种基于改进解释树的三维物体分类方法,将未知物体分到一组预先定义的物体类中。
Space object classification based on SVM and ACO 基于蚁群算法和特征融合的空间目标分类
Latent Local Spatial Relations ( LLSR) model is presented as a novel technique of learning spatial models for visual object classification. 提出了一种物体分类模型&潜在局部区域空间关系模型及实现算法。
Local Feature Spatial Correlation Kernel for Image Object Classification 基于局部特征空间相关核的图像目标分类
Remote sensing has being applied broadly to forest dynamic monitoring, real object classification statistical method offers the feasibility for forest cover dynamic monitoring. 遥感已广泛应用于森林动态监测,遥感影像实物分类统计法为森林覆盖动态监测提供了可能。
Based on the object classification research of ceramic sanitary wares, with the aid of object-oriented analysis method and knowledge based engineering, the paper presents the washing basin parametric CAD module with UG software as the developing platform. 本文在陶瓷洁具产品对象分类研究的基础上,结合面向对象分析方法和知识工程技术,基于UG软件平台开发洗面器参数化CAD模块。
In the data object model chapter, this dissertation elaborates the CAD frame object classification and the pattern CAD object's inheriting tree, analyzes the object behavior model and the object relation model's persistence method. 本文在数据对象模型中阐述了CAD框架的对象分类及服装CAD的对象继承树,分析了对象的行为建模及对象的关系持久化处理方式。
Based on the function analyses and structure research on existing products, the object classification of sanitary wares is put forward. A ware consists of three classes which are product type, product dimension and product part. 基于洁具产品功能和结构的分析与研究,提出了洁具产品的对象分类,将洁具产品概括成由产品类型、产品尺寸和产品部件这三大类组成。
Based on the technology of FPGA, a real-time object classification method in color image is presented. 提出了一种基于FPGA的实时彩色图像目标分类算法。
In order to carry out the "objective teaching" widely in the fields of the technique teaching, attaching volleyball pass technique and using the theory of the "teaching object classification", it discussed the theory and the method of drawing up teaching objective. 运用教育目标分类理论,结合排球传球技术,论述了制定教学目标的理论和方法,为在术科教学中大面积开展目标教学提供借鉴和参考。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also. 提出了属性相似度概念解决高维对象分类的权重问题,并结合云理论建立了基于属性相似度的云分类器。
The study has realized each stages of pattern course, including image input, image preprocessing, object segmentation, feature selecting, object classification and recognition, database inquiring and managing and information obtaining etc. 本文的研究实现了图像识别过程的各个阶段,包括图像输入、图像预处理、目标分割和定位、特征提取、目标分类识别、数据库查询与管理和情报获取等。
An Application of Wavelet Transform in Feature Level Image Fusion and Object Classification 小波变换在特征级多重图像融合与目标分类中的应用
Object classification mainly used for activity understanding in scene. 目标分类研究主要应用于场景中的行为理解。
The different standards and methods for space object classification are discussed, and a novel classification method for satellite based on the Universal Decimal Classification ( UDC) is proposed; 研究探讨了空间目标分类的标准和技术方法,并基于国际十进分类法(uDC)尝试提出了人造卫星的分类方法;
Trusts can from two aspects of the subject and object classification. 信任可以从主体和客体两方面分类。
Based on this, a novel sparse semantics based object classification algorithm is proposed. 基于此,本文提出基于稀疏语义表示的物体分类算法。
Object classification and model reconstruction, based on integrating LiDAR and Image, are a complicated task. How to improve the accuracy of classification and automation of building reconstruction still need further study. 基于LiDAR数据和航空影像的分类和三维重建是一项复杂的任务,如何提高地物分类精度、模型三维重建的自动化水平和模型精度,仍然需要大量和深入的研究。
It is mainly composed of object detection, object classification, object tracking and object behavior understanding. In this paper, only the human tracking is studied. 它主要包括目标检测、目标分类、目标跟踪以及目标行为理解等方面。本文针对其中的人体跟踪进行了研究。
Visual system is mainly through the camera calibration, color space selection, color histogram construction, image filtering algorithm, image segmentation algorithm, the target object classification algorithm, object localization algorithm use these algorithms for target object recognition. 视觉系统主要通过摄像头标定,色彩空间选择,颜色直方图构建,图像滤波算法,图像分割算法,目标物体分类算法,物体定位算法这几个算法过程进行目标物体识别。
Experimental results show that, using the object size parameter extraction and object classification, can be more accurately and quickly to achieve the object classification. 实验结果表明,所采用的目标尺寸参数的提取和目标分类法,可以较准确、快速地实现目标分类。
The tasks intelligent visual surveillance has to complete include: moving object detection, object classification, object tracking, object behavior understanding and identity recognition etc. Two of these key issues are focused in this paper. 智能视觉监控需要完成以下任务:运动目标物提取、目标分类、目标跟踪、目标物行为理解和身份识别等。本文专注于其中目标提取和目标跟踪这两个关键技术的研究。
In this paper, first, the additional issuance of directional market performance, operational performance and secondary object classification research results were systematically reviewed, based on this, the present development and motivation of the directional shares were analyzed. 本文首先对定向增发的市场绩效、经营绩效和增发对象分类的研究成果进行了系统梳理,在此基础上,对现阶段定向增发的发展历程和动机进行分析。
Image segmentation and object classification are two important topics of digital image processing. 图像分割和目标分类是数字图像处理领域中两个重要的研究课题。
With true size of the object and other parameters, based on fuzzy set classification for moving object classification. 3. 利用目标的真实尺寸参数和其他参数,基于模糊分类法进行运动目标的分类研究。
Object classification and identification is an important research topic in the fields of image processing and pattern recognition, and it has been widely used in computer vision like scene view and intelligent navigation. 目标分类识别是图像处理和模式识别领域的重要研究课题,在场景视图和智能导航等计算机视觉方面有着广泛的应用。