2017-05-29 02:22:24 -0600 | received badge | ● Notable Question (source) |
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2016-06-09 16:09:45 -0600 | commented question | Object recognition performance with ORB What would be the rationale there, are there specific features of that algorithm that you think might perform better than ORB? |
2016-06-09 10:28:04 -0600 | commented question | Object recognition performance with ORB Even up close the performance isn't great, the bounding box generated by the homography rarely captures the object in the scene. But yes perhaps I'll need higher resolution for objects further away (currently only 320x240) |
2016-06-08 11:11:23 -0600 | received badge | ● Editor (source) |
2016-06-08 10:42:07 -0600 | asked a question | Object recognition performance with ORB I have a sample project where I am trying to recognize, and draw a box around, a circuit board. Ideally I want the result to be something close to this: https://www.youtube.com/watch?v=-ZNYo... I'm hoping that some people with more experience and intution can suggest changes to my algorithm and code to improve results. I am using OpenCV with Python, and have been playing around with the ORB detector, which I understand is a free license vs. SIFT or SURF. Also it seems fairly efficient. However my code isn't working too well for matching. It runs fast in real-time, but below are some sample match attempts: On the left is my (static) template, on the right is the real-time scene. I've taken a few screenshots that are indicative of my results: not that many matches, some mismatches, and it's never able to draw a nice bounding box around the object as my code would (hopefully) have it do. I've also tried taking more vertical/birds-eye pictures of the template, but with similarly poor results. Resolution for template and image are both 320x240. Below I will paste my code. It uses the ORB recognizer as I mentioned. I am open to switching approaches/algorithms but I'd also like to understand why I could expect better performance if doing so. Thank you in advance for any help or advice, hopefully others will benefit as well. (more) |
2013-07-19 22:16:54 -0600 | asked a question | Windows 7 installation fail: 'Can not open file OpenCV...exe as archive' Having a really tough time installing OpenCV on my Windows 7 64-bit machine. Yes I tried running as administrator; I also tried 7zip and WinRAR to extract. No dice. I have downloaded OpenCV-2.4.4.exe, OpenCV-2.4.5.exe, OpenCV-2.4.6.0.exe, and now I'm trying OpenCV-2.3.0.exe =( Help!! |
2013-06-24 20:30:26 -0600 | received badge | ● Supporter (source) |
2013-06-24 20:29:51 -0600 | commented answer | Setting up a camera system to use with OpenCV Thank you. Two quick q's: will |
2013-06-24 14:54:57 -0600 | asked a question | Setting up a camera system to use with OpenCV Hello, Probably a dumb/basic question, apologies in advance. I want to buy a standard webcam, say something like this: http://www.bestbuy.com/site/Logitech+-+HD+Webcam+C615/2588445.p;jsessionid=3665222F1C297C76927E29F770068174.bbolsp-app02-163?id=1218337862339&skuId=2588445 Then I want to connect it to my laptop and use OpenCV to analyze its video feed to run CV algorithms with. What do I need to do to get started with this task? Just the set-up so in my C++ code I have the video stream available to analyze. Is there some basic template code I could get started with? Thanks! |