Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12192309 |
Author:kankan |
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Description: This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved. Platform: |
Size: 2122036 |
Author:harleych |
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Description: Edge Detection Basis of Theory and Practice
CAS –Computer Vision Course 3rdlesson
Veronique PRINET-Edge Detection Basis of Theory and Practice e CAS-Computer Vision Course 3rdlesson Veroni que PRINET Platform: |
Size: 1301504 |
Author:郑纲 |
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Description: 包括一个自定义图像类型的结构体，自定义图像api，和机器视觉的函数。可以完成道路检测追踪的功能-including a custom image-type structure, since the definition images api, and machine vision functions. To be completed road detection tracking function Platform: |
Size: 5120 |
Author:double_l |
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Description: MIT人工智能实验室的目标识别的源码，MATLAB版本的，非常适合计算机视觉方面的研究使用。-MIT artificial intelligence laboratory identification of the target source code, version of the MATLAB, very suitable for computer vision of study. Platform: |
Size: 15360 |
Author:sjtuzyk |
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Description: 在计算机视觉的应用中，对于检测和识别任务boosting算法是一个很流行的算法。对比于非在线算法，在线的boosting算法可以更好的适应实时跟踪的应用。-In computer vision applications, for the detection and identification tasks boosting algorithm is a very popular algorithm. Contrast to non-online algorithm, online boosting algorithm can better adapt to real-time tracking applications. Platform: |
Size: 852992 |
Author:陈霄恒 |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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Description: 正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization, visual object tracking, video object tracking, image registration, image matching, etc. Platform: |
Size: 109568 |
Author:朱亮亮 |
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Description: 车牌自动识别系统(ANPR)源代码,这个项目涉及了人工智能、机器视觉和神经网络等领域，实现一个车牌自动识别系统(ANPR)。它包括了一系列的数学算法原理，以保证数字车牌的检测与提取、字母分割、归一化和识别。 -Automatic License Plate Recognition System (ANPR) source code, this project involves the artificial intelligence, machine vision and neural networks in areas such as license plate recognition system to achieve a (ANPR). It includes a series of principles of mathematical algorithms, to ensure that digital license plate detection and extraction, the letter segmentation, normalization and recognition. Platform: |
Size: 2952192 |
Author:yangyang |
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Description: 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology. Platform: |
Size: 4237312 |
Author:朱亮亮 |
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Description: In this thesis we present an operational computer vision system for real-time detection and tracking of human motion. The system captures monocular video of a scene and identifies those moving objects which are characteristically human. This serves as both a proof-ofconcept and a verification of other existing algorithms for human motion detection. An approach to statistical modeling of motion developed by Y. Song is coupled with a preprocessing stage of image segmentation and point feature tracking. This design allows a system that is robust with respect to occlusion, clutter, and extraneous motion. The results of experiments with the system indicate the ability to minimize both false detections and missed detections. Platform: |
Size: 778240 |
Author:linuszhao |
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Description: Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences. Platform: |
Size: 293888 |
Author:linuszhao |
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Description: 用Labview vision平台测量几何图形的轮廓的直边，共大家学习，用的是labview2017(Labview vision platform to measure the geometric contours of the straight edge, a total of everyone learning, using labview2017) Platform: |
Size: 26624 |
Author:吾道孤也
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Description: 用Labview vision平台测量几何图形的轮廓边界，用的是labview2017(Using the Labview vision platform to measure the outline boundaries of geometric shapes, using labview2017) Platform: |
Size: 28672 |
Author:吾道孤也
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Description: An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers.
Here is a crude video that shows the application in action. Here is a marker with the a 3D object (the CNU logo) rendered correctly on its surface plane. Beside it is the marker with no image. Platform: |
Size: 7094272 |
Author:穿山甲说
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