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  • Framework/tool for processing C++ unit tests with numerical output

    - by David Claridge
    Hi, I am working on a C++ application that uses computer vision techniques to identify various types of objects in a sequence of images. The (1000+) images have been hand-classified, so we have an XML file for each image containing a description of where the objects are actually located in the images. I would like to know if there is a testing framework that can understand/graph results from tests that are numeric, in this case some measure of the error in the program's classification of the images, rather than just pass/fail style unit tests. We would like to use something like CDash/CTest for running these automated tests, and viewing over time how improvements to the vision algorithms are causing the images to be more correctly classified. Does anyone know of a tool/framework that can do this?

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  • Count the number of objects in an Image

    - by kunjaan
    I am investigating the possibility of image processing to identify certain objects and also count them in an image. I will be given a picture and I need to identify the number of boxes present in that image. Does anybody have any experience with any Machine Vision/ Image Processing libraries like ImageJ, Fiji, JAI, jMagick ,Java Vision Toolkit? Which do you think is best suited for the job? What do you guys suggest? If the APIs can be used from Java, it would be better. Thank you. Edit: I am dealing with warehouse brown boxes. Yes I am talking about regular photos. The source is usually a mobile phone picture.

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  • Communication btwn active 3d glasses and source(s)?

    - by selfmade.exe
    I know that 3d active shutter glasses work with infared or radio (radio = only bluetooth?). I know that both of them are harmfull but, with either of them, does only one signal get send, to just syncronize glasses with monitor, or the trnasmitter and glasses communicate the whole tiime? An infared/bluetooth transimition for a second(s) is tottaly acceptable, no complain at all, unless the transimition is the whole time.

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  • Prioritizing Product Features

    - by Robert May
    A very common task in Agile Environments is prioritization.  Teams that are functioning well will prioritize new features, old features, the backlog, and any other source of stories for the team, and they’ll do it regularly. Not all teams are good at prioritizing according to the real return on investment that building stories will yield to the company.  This is unfortunate.  Too often, teams end up building features that are less valuable, and everyone seems to know it except perhaps the product owner!  Most features built into software are never even used.  Clearly, not much return for features that go unused. So how does a company avoid building features that add little value to the company?  This is a tough question to answer, but usually, this prioritization starts at the top with the executives of the company.  After all, they’re responsible for the overall vision of the company. Here’s what I recommend: Know your market. Know your customers and users. Know where you’re going and what you want to achieve. Implement the Vision Know Your Market We often see companies that don’t know their market.  Personally, I’m surprised by this.  These companies don’t know who their competitors are, don’t know what features make their product desirable in the market, and in many cases, get by with saying, “I’ve been doing this for XX years.  I know what the market wants!”  In many cases, they equate “marketing” with “advertising” and don’t understand the difference. This is almost never true.  Good companies will spend significant amounts of time and money finding out who they’re competing against and what makes their competitors successful in the marketplace.  Good companies understand that marketing involves more than just advertising.  Often, marketing is mostly research and analysis, not sales.  Until you understand your market, you cannot know what features will give you the best return on your investment dollar. Good companies have a marketing department and can answer the next important step which is to know your customers and your users. Know your Customers and Users First, note that I included both customers and users.  They’re often not the same thing.  Users use the product that you build.  Customers buy the product that you build.  It’s a subtle difference, but too often, I’ve seen companies that focus exclusively on one or the other and are not successful simply because they ignore an important part of the group. If your company is doing appropriate marketing, you know that these are two different aspects of your product and that both deserve attention to have a product that is successful in your target market.  Your marketing department should be spending a lot of time understanding these personas and then conveying that information to the company. I’m always surprised when development teams think that they can build a product that people want to use without understanding the users of that product.  Developers think differently than most people in the world.  They know what the computer is doing.  The computer isn’t magic to them.  So when they assume that they know how to build something, they bring with them quite a bit of baggage.  Never assume that you know your customer unless you’re regularly having interaction with them.  Also, don’t just leave this to Marketing or Product Management.  Take them time to get your developers out with the customers as well.  Developers are very smart people, and often, seeing how someone uses their software inspires them to make a much better product. Very often, because the users and customers aren’t know, teams will spend a significant amount of time building apps that are super flexible and configurable so that any possible combination of feature can be used.  This demonstrates a clear lack of understanding of the customer.  Most configuration questions can quickly be answered by talking to the customer.  In most cases, if your software requires significant setup and configuration before its usable, you probably don’t know your customers and users very well. Until you know your customers, you cannot know what features will be most valuable to your customers and you cannot build those features in a way that your customers can use. Know Where You’re Going and What You Want to Achieve Many companies suffer from not having a plan.  Executives will tell the team to make them a plan.  The team, not knowing their market and customers and users, will come up with a plan that doesn’t reflect reality and doesn’t consider ROI.  Management then wonders why the product is doing poorly in the market place. Instead of leaving this up to the teams, as executives, work with Marketing to understand what broad categories of features will sell the most product in the marketplace.  Then, once you’ve determined that, give this vision to the team and let them run with it.  Revise the vision as needed, but avoid changing streams frequently.  Sure, sometimes you need to, but often, executives will change priorities many times a month, leading to nothing more than confusion.  If the team has a vision, they’ll be able to execute that vision far better than they could otherwise. By knowing what products are most important, you can set budgetary goals and guidelines that will help you achieve the vision that was created. Implement the Vision Creating the vision is often where the general executives stop participating in the plan.  The team is responsible for implementing that vision.  Executives should attend showcases and and should remain aware of the progress that the team is making towards meeting the vision, however. Once a broad vision has been created, the team should break that vision down into minimal market features (MMF).  These MMFs should be sized using story points so that, using the team’s velocity, an estimated cost can be determined for each feature.  The product management team should then try to quantify the relative value of the MMFs based on customer feedback and interviews.  Once the value and cost of creating the feature is understood, a return on investment can be calculated.  The features should then be prioritized with the MMF’s that have the highest value and lowest cost rising to the top of features to implement.  Don’t let politics get in the way! Once the MMF’s have been prioritized, they should go through release planning to schedule them for implementation. Conclusion By having a good grasp on the strategy of the company, your Agile teams can be much more effective.  Each and every story the team is implementing will roll up into features that matter to the company and provide ROI to them.  The steps outlined in this post should be repeated on a regular basis.  I recommend reviewing them at least once per quarter to make sure that the vision hasn’t shifted and that the teams are still working on what matters most to the company. Technorati Tags: Agile,Product Owner,ROI

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  • How to guide stakeholder(s) not to get far from the scrum vision?

    - by Saeed Neamati
    Consider this scenario: Stakeholder(s): Let's build a web application to manage user's financial data. Scrum team: Ok, let's do it. . . . After 3 sprints Stakeholder(s): Let's also implement a mailing system, so that when user's financial status is not good, (s)he would be warned. Scrum team: Ok, it's not that hard. We'll do it. . . . After 5 sprints Stakholder(s): Let's become a mailing provider. Here, how should scrum team guide stakeholder to stay inside the scope of scrum vision? Maybe a more fundamental question is, should the at all? Update: Of course there is a product owner. But by scrum team I meant PO, SM, and Team.

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  • Oracle's Vision for the Social-Enabled Enterprise - Partner Webcast. September 10th

    - by Richard Lefebvre
    Smart companies are developing social media strategies to engage customers, gain brand insights, and transform employee collaboration and recruitment. Oracle is powering this transformation with the most comprehensive enterprise social platform that lets you: Monitor and engage in social conversations Collect and analyze social data Build and grow brands through social media Integrate enterprisewide social functionality into a single system Create rich social applications Join Oracle President Mark Hurd and senior Oracle executives to learn more about Oracle’s vision for the social-enabled enterprise. Register now for this Webcast.  - Mon., Sept. 10, 2012 - 10 a.m. PT / 19:00 CET

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  • Detecting video playing in browser from a screenshot -- OpenCV

    - by Jon
    I would like to draw a rectangle around a video playing on my screen. For example, I am watching a YouTube video in my browser. I would like to be able to take a screenshot, analyze that screenshot, and then draw a rectangle around where the YouTube video is playing. I have just started looking into how I might be able to to this. I came across OpenCV. I understand that OpenCV covers many computer vision techniques. Would any of them be particularly well suited for this task? Also, is this something that can be done in real time? Finally, is there a technique that would work for both in browser and full screen? Thanks!

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  • Detecting the axis of rotation from a pointcloud

    - by tfinniga
    I'm trying to auto-detect the axis of rotation on a 3d pointcloud. In other words, if I took a small 3d pointcloud, chose a single axis of rotation, and make several copies of the points at different rotation angles, then I get a larger pointcloud. The input to my algorithm is the larger pointcloud, and the desired output is the single axis of symmetry. And eventually I'm going to compute the correspondences between points that are rotations of each other. The size of the larger pointcloud is on the order of 100K points, and the number of rotational copies made is unknown. The rotation angles in my case have constant deltas, but don't necessarily span 360 degrees. For example, I might have 0, 20, 40, 60. Or I might have 0, 90, 180, 270. But I won't have 0, 13, 78, 212 (or if I do, I don't care to detect it). This seems like a computer vision problem, but I'm having trouble figuring out how to precisely find the axis. The input will generally be very clean, close to float accuracy.

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  • Runtime unhandled exception while executing facedetect.py in opencv

    - by Rupesh Chavan
    When i tried to execute facedetect.py python script from opencv sample example i got the following runtime exception. Can someone please give me some pointer or some clue about the exception and why it is encountering? Here is the stack trace : 'python.exe': Loaded 'C:\Python26\python.exe' 'python.exe': Loaded 'C:\WINDOWS\system32\ntdll.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\kernel32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\python26.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\user32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\gdi32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\advapi32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\rpcrt4.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\shell32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\msvcrt.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\shlwapi.dll' 'python.exe': Loaded 'C:\WINDOWS\WinSxS \x86_Microsoft.VC90.CRT_1fc8b3b9a1e18e3b_9.0.30729.1_x-ww_6f74963e\msvcr90.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\imm32.dll' 'python.exe': Loaded 'C:\WINDOWS\WinSxS\x86_Microsoft.Windows.Common-Controls_6595b64144ccf1df_6.0.2600.2982_x-ww_ac3f9c03\comctl32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\comctl32.dll' 'python.exe': Loaded 'C:\Python26\Lib\site-packages\opencv_cv.pyd', Binary was not built with debug information. 'python.exe': Loaded 'C:\OpenCV2.0\bin\libcv200.dll', Binary was not built with debug information. 'python.exe': Loaded 'C:\OpenCV2.0\bin\libcxcore200.dll', Binary was not built with debug information. 'python.exe': Loaded 'C:\Python26\Lib\site-packages\opencv_ml.pyd', Binary was not built with debug information. 'python.exe': Loaded 'C:\OpenCV2.0\bin\libml200.dll', Binary was not built with debug information. 'python.exe': Loaded 'C:\Python26\Lib\site-packages\opencv_highgui.pyd', Binary was not built with debug information. 'python.exe': Loaded 'C:\OpenCV2.0\bin\libhighgui200.dll', Binary was not built with debug information. 'python.exe': Loaded 'C:\WINDOWS\system32\ole32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\oleaut32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\avicap32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\winmm.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\version.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\msvfw32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\avifil32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\msacm32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\msctf.dll' 'python.exe': Loaded 'C:\OpenCV2.0\bin\libopencv_ffmpeg200.dll', Binary was not built with debug information. 'python.exe': Loaded 'C:\WINDOWS\system32\wsock32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\ws2_32.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\ws2help.dll' 'python.exe': Loaded 'C:\WINDOWS\system32\MSCTFIME.IME' Unhandled exception at 0x00e7e4e4 in python.exe: 0xC0000005: Access violation reading location 0xffffffff. Thanks a lot in advance, Rupesh Chavan

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  • Image Erosion for face detection in C#

    - by Chris Dobinson
    Hi, I'm trying to implement face detection in C#. I currently have a black + white outline of a photo with a face within it (Here). However i'm now trying to remove the noise and then dilate the image in order to improve reliability when i implement the detection. The method I have so far is here: unsafe public Image Process(Image input) { Bitmap bmp = (Bitmap)input; Bitmap bmpSrc = (Bitmap)input; BitmapData bmData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb); int stride = bmData.Stride; int stride2 = bmData.Stride * 2; IntPtr Scan0 = bmData.Scan0; byte* p = (byte*)(void*)Scan0; int nOffset = stride - bmp.Width * 3; int nWidth = bmp.Width - 2; int nHeight = bmp.Height - 2; var w = bmp.Width; var h = bmp.Height; var rp = p; var empty = CompareEmptyColor; byte c, cm; int i = 0; // Erode every pixel for (int y = 0; y < h; y++) { for (int x = 0; x < w; x++, i++) { // Middle pixel cm = p[y * w + x]; if (cm == empty) { continue; } // Row 0 // Left pixel if (x - 2 > 0 && y - 2 > 0) { c = p[(y - 2) * w + (x - 2)]; if (c == empty) { continue; } } // Middle left pixel if (x - 1 > 0 && y - 2 > 0) { c = p[(y - 2) * w + (x - 1)]; if (c == empty) { continue; } } if (y - 2 > 0) { c = p[(y - 2) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y - 2 > 0) { c = p[(y - 2) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y - 2 > 0) { c = p[(y - 2) * w + (x + 2)]; if (c == empty) { continue; } } // Row 1 // Left pixel if (x - 2 > 0 && y - 1 > 0) { c = p[(y - 1) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y - 1 > 0) { c = p[(y - 1) * w + (x - 1)]; if (c == empty) { continue; } } if (y - 1 > 0) { c = p[(y - 1) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y - 1 > 0) { c = p[(y - 1) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y - 1 > 0) { c = p[(y - 1) * w + (x + 2)]; if (c == empty) { continue; } } // Row 2 if (x - 2 > 0) { c = p[y * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0) { c = p[y * w + (x - 1)]; if (c == empty) { continue; } } if (x + 1 < w) { c = p[y * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w) { c = p[y * w + (x + 2)]; if (c == empty) { continue; } } // Row 3 if (x - 2 > 0 && y + 1 < h) { c = p[(y + 1) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y + 1 < h) { c = p[(y + 1) * w + (x - 1)]; if (c == empty) { continue; } } if (y + 1 < h) { c = p[(y + 1) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y + 1 < h) { c = p[(y + 1) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y + 1 < h) { c = p[(y + 1) * w + (x + 2)]; if (c == empty) { continue; } } // Row 4 if (x - 2 > 0 && y + 2 < h) { c = p[(y + 2) * w + (x - 2)]; if (c == empty) { continue; } } if (x - 1 > 0 && y + 2 < h) { c = p[(y + 2) * w + (x - 1)]; if (c == empty) { continue; } } if (y + 2 < h) { c = p[(y + 2) * w + x]; if (c == empty) { continue; } } if (x + 1 < w && y + 2 < h) { c = p[(y + 2) * w + (x + 1)]; if (c == empty) { continue; } } if (x + 2 < w && y + 2 < h) { c = p[(y + 2) * w + (x + 2)]; if (c == empty) { continue; } } // If all neighboring pixels are processed // it's clear that the current pixel is not a boundary pixel. rp[i] = cm; } } bmpSrc.UnlockBits(bmData); return bmpSrc; } As I understand it, in order to erode the image (and remove the noise), we need to check each pixel to see if it's surrounding pixels are black, and if so, then it is a border pixel and we need not keep it, which i believe my code does, so it is beyond me why it doesn't work. Any help or pointers would be greatly appreciated Thanks, Chris

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  • OCR for Devanagari (Hindi / Marathi / Sanskrit)

    - by Egon
    Does anybody have any idea about any recent work being done on optical character recognition for Indian scripts using modern Machine Learning techniques ? I know of some research being done at ISI, calcutta, but nothing new has come up in the last 3-4 years to the best of my knowledge, and OCR for Devanagari is sadly lacking!

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  • Image Recognition (Shape recognition)

    - by mqpasta
    I want to recognize the shapes in the picture by template matching.Is the "ExhaustiveTemplateMatching" is the right option given in Aforge.Net for this purpose.Had anyone tried this class and find it working correctly.How accurate and right choice this class is for achieving my purpose.Suggest any other methods or Alogrithms as well for recognizing shapes by matching template.For example Identifying ComboBox in a picture.

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  • image focus calculation

    - by Oren Mazor
    Hi folks, I'm trying to develop an image focusing algorithm for some test automation work. I've chosen to use AForge.net, since it seems like a nice mature .net friendly system. Unfortunately, I can't seem to find information on building autofocus algorithms from scratch, so I've given it my best try: take image. apply sobel edge detection filter, which generates a greyscale edge outline. generate a histogram and save the standard dev. move camera one step closer to subject and take another picture. if the standard dev is smaller than previous one, we're getting more in focus. otherwise, we've past the optimal distance to be taking pictures. is there a better way? update: HUGE flaw in this, by the way. as I get past the optimal focus point, my "image in focus" value continues growing. you'd expect a parabolic-ish function looking at distance/focus-value, but in reality you get something that's more logarithmic

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  • How to begin with augmented reality?

    - by Terri
    I'm currently an undergrad in computer science and I'll be entering my final year next year. Augmented reality is something I find to be a really interesting topic, but I have no idea where to start learning about it. Where do you start learning about this topic and what libraries are available?

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  • Face recognition Library

    - by Janusz
    I'm looking for a free face recognition library for a university project. I'm not looking for face detection. I'm looking for actual recognition. That means finding images that contain specified faces or libraries that calculate distances between specific faces. I'm using OpenCV for detecting the faces and a rough Eigenfaces Algorithm for the recognition now. But I thought there should be something out there with a better performance then a self written Eigenfaces Algorithm. I don't talk about speed as performance I'm looking for a library with better results as an simple Eigenfaces approach I took a look at faint but it seems the library is not very reusable for my own applications. I'm happy with a library in Python, Java, C++, C or something like that. The best thing would be if it can be run on a Windowsmachine

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  • Marker Recognition on Android (recognising Rubik's Cubes)

    - by greenie
    Hi everybody. I'm developing an augmented reality application for Android that uses the phone's camera to recognise the arrangement of the coloured squares on each face of a Rubik's Cube. One thing that I am unsure about is how exactly I would go about detecting and recognising the coloured squares on each face of the cube. If you look at a Rubik's Cube then you can see that each square is one of six possible colours with a thin black border. This lead me to think that it should be relativly simply to detect a square, possibly using an existing marker detection API. My question is really, has anybody here had any experience with image recognition and Android? Ideally I'd like to be able to implement and existing API, but it would be an interesting project to do from scratch if somebody could point me in the right direction to get started. Many thanks in advance.

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  • How to begin with augmented reality/compvision?

    - by Terri
    I'm currently an undergrad in computer science and I'll be entering my final year next year. Augmented reality is something I find to be a really interesting topic, but I have no idea where to start learning about it. Where do you start learning about this topic and what libraries are available?

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  • OpenCV - DLL missing, but it's not?

    - by charles-22
    I am trying just a basic program with OpenCV with the following code: #include "cv.h" #include "highgui.h" int main() { IplImage* newImg; newImg = cvLoadImage("~/apple.bmp", 1); cvNamedWindow("Window", 1); cvShowImage("Window", newImg); cvWaitKey(0); cvDestroyWindow("Window"); cvReleaseImage(&newImg); return 0; } When I run this, I get The program can't start because libcxcore200.dll is missing from your computer. Try reinstalling the program to fix this problem. However, I can see this DLL. It exists. I have added the following to the input dependencies for my linker C:\OpenCV2.0\lib\libcv200.dll.a C:\OpenCV2.0\lib\libcvaux200.dll.a C:\OpenCV2.0\lib\libcxcore200.dll.a C:\OpenCV2.0\lib\libhighgui200.dll.a What gives? I'm using visual studio 2008.

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  • Metric 3d reconstruction

    - by srand
    I'm trying to reconstruct 3D points from 2D image correspondences. My camera is calibrated. The test images are of a checkered cube and correspondences are hand picked. Radial distortion is removed. After triangulation the construction seems to be wrong however. The X and Y values seem to be correct, but the Z values are about the same and do not differentiate along the cube. The 3D points look like as if the points were flattened along the Z-axis. What is going wrong in the Z values? Do the points need to be normalized or changed from image coordinates at any point, say before the fundamental matrix is computed? (If this is too vague I can explain my general process or elaborate on parts)

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  • Automatic camera calibration

    - by srand
    From Wikipedia, camera resectioning is the process of finding the true parameters of the camera that produced a given photograph or video. Camera resectioning is also known as geometric camera calibration. Currently I am using Camera Calibration Toolbox for Matlab for my camera calibration. The toolbox returns calibration parameters such as focal length, principle point, skew, and distortion. However, the issue with this method is that it requires an extra step in calibrating the camera by using a special calibration object like a checkerboard. Additionally, it only works for one focus of the camera. How can I get the calibration parameters without manually calibrating? For example, how does Microsoft's Photosynth perform camera calibration on its images?

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