Search - image object recognition

Search - image object recognition - List

[Special Effects] C-bridge DL : 0: SAR图像中目标识别，这里提供了ＳＡＲ图像中桥梁的识别-SAR image object recognition, as it provides a bridge SAR Image Recognition
Update : 2008-10-13 Size : 6.06kb Publisher : 张璇
[CSharp] Imagerecognition11 DL : 0: object recognition with CCH
Update : 2025-02-17 Size : 322kb Publisher : 武一
[Special Effects] C-bridge DL : 0: SAR图像中目标识别，这里提供了ＳＡＲ图像中桥梁的识别-SAR image object recognition, as it provides a bridge SAR Image Recognition
Update : 2025-02-17 Size : 6kb Publisher : 张璇
[SCM] AVRCam DL : 0: 这是一个基于颜色特征的物体识别程序，包括上位机源代码、下位机源代码和非常详细的说明文党。该程序上位机用Java写成，在windows/UNIX/Linux等系统下均可以编译和运行，而下位机代码则运行于ATMEL公司出品的AVR系列ATMega单片机，采用avr-gcc编译。该程序可以同时识别10个不同颜色不同形状的物体，达到每秒29帧的处理速度，采用OV6620 CMOS图像传感器。-This is a feature based on the color of the object recognition procedures, including PC source code, Under the plan, and the source code is described in detail in the text Party. The procedure PC using Java languages, in the windows/UNIX/Linux systems can be compiled and run, The next crew is operating in the code and produce the ATMEL AVR Series ATMega microcontroller, using avr- gcc compiler. The procedure can identify 10 different colors of different shapes of objects, 29 per second of processing speed, using OV6620 CMOS image sensor.
Update : 2025-02-17 Size : 618kb Publisher : 刘维超
[source in ebook] thinning DL : 0: 该代码为二值图像进行细化,为学习图像目标识别及,目标边界细化方面很有帮助-code for the binary image thinning, as a learning object recognition and image, target border helpful Refinement
Update : 2025-02-17 Size : 62kb Publisher : kai
[Special Effects] RAP DL : 0: 基于泊松模型的图像检索和识别原文： The Rate Adapting Poisson (RAP) model for Information Retrieval and Object Recognition-Poisson model-based image retrieval and identification of the original: The Rate Adapting Poisson (RAP) model for Information Retrieval and Object Recognition
Update : 2025-02-17 Size : 197kb Publisher : leeyoungae
[Special Effects] C1C2 DL : 0: 本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献"Robust Object Recognition with Cortex-Like Mechanisms"。-The source is the use of visual object recognition bionics results of the latest achievements. c1 c2 characterized by MIT Professor of Poggio research team in accordance with human visual biomimetic study the characteristics of the results. Use of the characteristics of the natural image object recognition has achieved good results. The compressed packet to extract the characteristics of C1 C2 source Matlab. C1 C2 features a detailed description see the IEEE PAMI 2007 literature Robust Object Recognition with Cortex-Like Mechanisms .
Update : 2025-02-17 Size : 16kb Publisher : csb
[Special Effects] TheResearchforRecognition DL : 0: 基于视频图像的运动车辆识别系统主要是由汽车牌照识别和汽车类型识别两大核心技术构成，它在智能交通领域中有着广泛的应用，同时也是计算机视觉、图像处理和模式识别等交叉学科研究的热门课题，因此对相关技术的研究正受到普遍关注。本文正是在这一背景下，对运动车辆识别技术进行了系统的研究。在车牌识别技术中，本文着重对车牌定位和车牌字符识别等关键技术所涉及的难点进行了深入的研究。在车型识别技术中，与当前国内外学者侧重于研究车辆外形、大小的识别不同，本文主要侧重对汽车标志的定位和识别进行研究。本文提出了解决以上技术中相应问题的理论方法，并在实验中验证了其有效性，同时这些研究内容对于解决一般的目标识别系统中普遍存在的光照、噪声、尺度、形状相似、部分遮挡等情况的识别问题有着更为深远的理论意义。-Recognition system of moving vehicle based on video images mainly consists of two key technologies:recognition of vehicle_license_plate(VLP)and recognition of vehicle type.It not only finds wide application in ITS,but also is a hot point of research in computer vision,image processing and pattern recognition. So its related technology is attended prevalently.On the above background,we made a deep and systematic research for recognition of moving vehicle.In recognition of VLP,the problems of VLP location and VLP character recognition are studied in this dissertation.In recognition of vehicle type,differing with other researchers who attend to the recognition of shape,size of vehicle,we pay attention to the location and recognition of vehiclelogo.The methods to deal with above problems are proposed in the dissertation and testified in the experiment.At the same time,our researches have academic significance in object recognition which is subject to illumination,noise,size,sla
Update : 2025-02-17 Size : 2.23mb Publisher : 陈忠厚
[Special Effects] contour DL : 0: 基于OpenCV，实现了寻找图像的轮廓，用于物体识别，轮廓分析等算法.-Based on OpenCV, looking for implementation of the outline of the image for object recognition, contour analysis algorithm.
Update : 2025-02-17 Size : 128kb Publisher : 无梦
[Graph program] FHD_PAMI DL : 0: 去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking
Update : 2025-02-17 Size : 17kb Publisher : 李瑞波
[Windows Develop] object_recognition.tar DL : 0: Object recognition application for identifying similar objects corresponding to input image
Update : 2025-02-17 Size : 4.56mb Publisher : maddy
[Special Effects] xiangsidu DL : 0: 遥感图像的多光谱目标识别，相似度方法实现分类-The multi-spectral remote sensing image object recognition, similarity classification method
Update : 2025-02-17 Size : 4kb Publisher : toney
[Special Effects] visionmotion DL : 0: 很好的动态物体识别和跟踪源码。可以利用摄像头也可以读取AVI文件-Very good dynamic object recognition and tracking of source code. Camera can be used to read AVI files can also be
Update : 2025-02-17 Size : 200kb Publisher : 傅晟
[Special Effects] SiftSearch DL : 0: 基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 -Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.
Update : 2025-02-17 Size : 193kb Publisher : Hien Chu
[Special Effects] sfm_chanvese_demo DL : 0: 一种snake算法实现轮廓跟踪，可用于图像分割、目标识别等图像处理相关领域。-Of a snake contour tracking algorithm can be used for image segmentation, object recognition and other image processing related fields.
Update : 2025-02-17 Size : 51kb Publisher : feilo
[Special Effects] eccv06 DL : 0: In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. This leads to a combination of novel detection, description, and matching steps. The paper presents experimental results on a standard evaluation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.-In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. This leads to a combination of novel detection, description, and matching steps. The paper presents experimental results on a standard evaluation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.
Update : 2025-02-17 Size : 670kb Publisher : yangwei
[Special Effects] 2009PatentSYSTEMFOR3DOBJECTRECOGNITION DL : 0: Patent:SYSTEM AND METHOD FOR 3D OBJECT RECOGNITION. The present invention provides a system and method for recognizing a 3D object in a single camera image and for determining the 3D pose of the object with respect to the camera coordinate system. In one typical application, the 3D pose is used to make a robot pick up the object. A view-based approach is presented that does not show the drawbacks of previous methods because it is robust to image noise, object occlusions, clutter, and contrast changes. Furthermore, the 3D pose is determined with a high accuracy. Finally, the presented method allows the recognition of the 3D object as well as the determination of its 3D pose in a very short computation time, making it also suitable for real-time applications. These improvements are achieved by the methods disclosed herein.
Update : 2025-02-17 Size : 578kb Publisher : yangwei
[matlab] Image-segmentation-Extraction DL : 0: 这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。-The matlab program to achieve the target object' s image segmentation and extraction technology, in the annex of the procedures for license plate detection and recognition, for example, the effect was very good.
Update : 2025-02-17 Size : 20kb Publisher : 动荡
[Graph Recognize] o-recognition DL : 0: object recognition in image proccessing
Update : 2025-02-17 Size : 2.3mb Publisher : sara
[Special Effects] Object-Recognition-Based-on DL : 0: 一篇图像不变性识别的好文章，基于不变矩的图像几何变换不变性识别研究，我的导师写的，大家不妨看一下啊-An image invariant recognition based on moment invariants image geometric transformation invariant recognition research, written by my mentor, you may wish to look at ah
Update : 2025-02-17 Size : 2.86mb Publisher : wujiangbo

« 12 3 4 5 6 7 8 9 10 »