Category Archives: opencv

This post could also be titled: “Why I’ve decided not to use the HOGDescriptors from opencv”.  There are three main reasons why I chose not to use the provided HOG functionality in Opencv: What is in Opencv is not only … Continue reading →

There were some issues with some of the classification tests I ran on the chessboard pictures from last week (you can find pictures here).  The ones that were taken from a distance of a couple of meters or less, classified … Continue reading →

After discovering that the accuracy of the chessboard detection is increased by adding a black frame around the chessboard, I went on to create a python library based on what I already had.  I created a python/C++ interface and some … Continue reading →

It’s reasonable to describe the chessboard format.  It’s relevant because not all chessboard dimensions are valid,  The current implementation only detects 6 colors and there needs to be a black margin around the chessboard (among other reasons). Chessboard dimensions: We … Continue reading →

Before leaving for vacations I was fighting a very curious issue with my chessboard detection algorithm.  All my tests were done with pictures of chessboards that occupied most of the image.  The tests where very positive even for outside picture … Continue reading →

After a week of debugging I got the code to do what I wanted.  I have successfully detected a bit stream in the chessboard marker image.  I had to correct for a small error that I encountered las week that … Continue reading →

After some weeks of fiddling with opencv chessboard functions, I finally managed to detect some information on a modified board.  I do still need to address some small mistakes that are related to color detection.  These should be ironed out … Continue reading →