udacity computer vision

Mahotas is a Python library for computer vision and image processing. It contains a large number of image processing algorithms, C + + implementation form, improve performance. A completely numpy-based array, as its data type, has a very clean Python algorithm interface.Include algorithm Watershed. Convex point calculation. Hit/hit, thinning algorithm. Zenit haralick, Lycium barbarum po

From: http://www.cvchina.info/2011/04/27/mea/ Transferred from Lao Yang's blogAnd focus on the physical and mental health of mobile computing, computer vision, 3C digital, IT web, and Lao Yang. I heard that the new name is meal snap.YesIPhone that calculates the calories of food in photosProgramTo count the total daily calorie intake of users and monitor the health of the diet. This idea is good,

Computer VisionConf .:Best: iccv, Inter. conf. on Computer VisionCvpr, Inter. conf. on computer vision and Pattern RecognitionGood: eccv, euro. conf. On Comp. VisionICIP, Inter. conf. On Image ProcessingICPR, Inter. conf. On Pattern RecognitionAccv, Asia Conf. On Comp. VisionJour .:Best: PAMI, IEEE Trans. On patt. Anal

Computer vision requires a lot of computing to process high-resolution images. Therefore, the image resolution of many datasets is very small. Recently, engineers have used a glass, a photoelectric detector, and some software to develop a "fluoroscopy" camera. This camera without a lens can take very low-resolution images, and Abstract The main contour of the object. Therefore, images taken using this camer

left is the original, and the X-side wizard image on the rightBelow: The left is the Y-side wizard number image, the right image is the gradient imageIt can be seen that the Prewitt operator can detect the edge of the image, but the detection result is coarser and has a lot of noise. Sobel operator of approximate derivative Sobel operators are similar to Prewitt, but they are better than Prewitt operators.The Sobel operator in the x direction isThe Sobel operator in the y direction isThe

In the previous article, we explained the edge gradient computing function. This article describes the image pyramid. Image pyramid is widely used in computer vision applications. Image pyramid is an image set, all the images in the set are derived from the same original image and obtained through continuous downsampling of the original image. Preface In the previous article, we explained the edge gradient

Recommendations for "Computer vision" conference submissionsA call for paper website, small recommended to me: http://www.wikicfp.com/cfp/You can add your own attention to the meeting, will generate the corresponding deadline list, very much ~The other is the CCF recommended rankings of CAS: http://www.ccf.org.cn/sites/ccf/paiming.jsp, which lists the relevant periodical meetings.(reprint please indicate au

This article summarizes the image storage format that I understand.The data in the computer is binary, so the picture is no exception.This is a description of the OpenCV document, which is stored in the code using a matrix.Similar is (BGR format):The smallest unit of the picture is the pixel, here is the BGR (usually the notation of blud, Green, and red) that represents each pixel corresponding to the value (here BGR the mixture, can get all the value

Because the current plan is familiar with the language and library, and the image feature extraction theory is very boring, and it is likely to be inefficient, so the computer Vision feature extraction This Part skipped, direct start and deep learning with a closer target detection recognition part.This section describes the functions that extract the corner features of an image in OpenCV3:1# coding=utf-82

: Network Disk DownloadContent Introduction······Python Computer vision programming is the authoritative practice guide of Computer vision programming, which relies on the Python language to explain the basic theory and algorithm, and analyzes the object recognition, content-based image search, optical character recogn

ObjectiveIn the field of computer vision CV, visual tracking is one of the important sub-problems. From my point of view, visual tracking is used on robots, on mobile devices, so why not put some tracking algorithms on the iphone to see the actual tracking effect. This is the most realistic comparison, the use of some video is not practical, and the key is not very good comparison of real-time. For mobile d

EMCV: OpenCV that can be run on the DSP EMCV Project Home: HTTP://SF.NET/PROJECTS/EMCVEMCV all called embedded computer Vision Library, is aComputer Vision Library running on the DM64X series DSP. EMCV provides a fully consistent function interface with OPENCV, and with EMCV, you can easily port your OPENCV algorithm to a DSP without even changing one line of co

Self-organizing a slightly easier periodical in the field of Computer Vision (first edition)Pattern recognition, field of computer vision, periodicals(1) Pattern recognition letters, from submission to publication, 1.5 time(2) The Pattern recognition is not good, the time is long(3) Ieice transactions on information an

Image processing, for the image itself to do some processing, here can be industrial, medical, entertainment, multimedia, advertising and other industries, such as the common Photoshop is also image processing software, the use of this software to do related work is also image processing staff. Other industries have similar effects, will be the original image, through a number of algorithms, techniques, means, etc., into the user's own view of the ideal image, that is, the image to deal with.Com

1. First, we also press the Win7 flagship computer keyboard Win+r shortcut to open the computer's running window, in the open running window, we enter CMD and click Enter, so that we can open the Win7 flagship version of the Computer Command Prompt window. 2. Again open the Command Prompt window, let's enter the command code directly: @reg Delete hkey_classes_rootdirectorybackgroundshellexcontextmen

papers covered a wide range of topics, ranging from solving pure engineering problems to using computer models to understand the biological nervous system and so on. After that, studies of biological systems and artificial systems have diverged, and in recent years the NIPS conferences have been dominated by machine learning, artificial intelligence and statistical papers. The NIPS conference is held annually in December and is hosted by the NIPS Fou

inlierand then in the code, the author once again made a match, matchlocal, in my opinion and Findconsensus's purpose is the same, but also through the relative point of distance to determine whether the characteristics of the feature, and then do a match on these features, is selected in, Finally, the points of Inlier and the points of matchlocal are combined as the final feature points. the code for Matchlocal is as follows:void matcher::matchlocal (const vectorWell, because of the time relat

ReferencesMask R-CNNMask R-CNN DetailedOpen Source code: tensorflow version code link ; keras and TensorFlow version code link ; mxnet version code link First, MASK-RCNNMask R-CNN is an instance segmentation (Instance segmentation) algorithm, which can accomplish various tasks, such as target classification, target detection, semantic segmentation, case segmentation, human posture recognition, etc. by adding different branches, which is flexible and powerfu

2016/05/24Casually looked at the next few demo, now the functions are all wrapped up, not very good, but still have to learn from the overall idea of the demoStructure from Motion from1,read a pair of Images read in two images2,load camera Parameters Loading the parameters (pre-set with camera calibration app)3,remove Lens Distortion Correcting lens distortion4,find point correspondences between the Images find a match between two images5,estimate the fundamental matrix estimating basic matrices

image, such as the actual distance is a Euclidean distance eye_distance, the reference distance eye_reference is the output width outputwidth minus the left eye to the left edge of 0.3 Outputwidth, minus the right eye to the right edge of the 0.3 outputwidth. Because the final face recognition, need to output grayscale, so, the final return value is grayscale and histogram equalization of the picture Image Rotation APIHere the picture is rotated using the OPENCV function, Warpaff