2014-10-12 22:05:02 -0600 | received badge | ● Necromancer (source) |
2014-04-07 23:24:24 -0600 | answered a question | Inconsistent results from SolvePnp with default set of parameters (flag CV_ITERATIVE) you need min 6 points. 4 points will work only with CV_EPNP, CV_P3P flags. I am not sure why, but I got this from practical experimentation. |
2014-04-07 19:22:15 -0600 | asked a question | solvePnP or projectPoints cannot handle lens distortions I use openCV function projectPoints to rotate/translate and project a set of 3D points and solvePnp to find this rotation/translation. This works when distortion coefficients (lens distortion) are all zero but fails otherwise. The code is below: When all distortion coefficients are 0 the result is OK: Finding extrinsic parameters (PnP) Test transformations: Rotation: [3, 5, 7]; translation: [10, 20, 30] distrotion coeff: [0, 0, 0, 0, 0] ============= Running PnP... Rotation: [2.999999581709123; 4.999997813985293; 6.999999826089725] Translation [9.999999792663072; 19.99999648222693; 29.99999699621362] However when they aren't zero the result is totally wrong: Finding extrinsic parameters (PnP) Test transformations: Rotation: [3, 5, 7]; translation: [10, 20, 30] distrotion coeff: [1.2, 0.2, 0, 0, 0] ============= Running PnP... Rotation: [-91.56479629305277; -124.3631985067845; -74.46486950666471] Translation [-69.72473511009439; -117.7463271636532; -87.27777166027946] |
2013-04-03 17:02:18 -0600 | answered a question | Convexity Defects in OpenCV 2.4.2 ConvexityDefects() might not work well in 5-10% of cases, see conv_defect.jpg; as shown in the picture a left image is when a convexity defect was successfully extracted (little red dot between fingers) and the right one is when the function failed. I am looking into the code to report why. |
2012-09-22 00:54:06 -0600 | commented question | comments in OpenCV source code eventually I will do it. But I wanted to ask you, why are you concerned about merging? I would be concerned with commenting itself since it will take 99% of the overall work. You see, the difference between system guys and computer vision guys is that they really think differently. |
2012-09-21 03:19:01 -0600 | commented answer | comments in OpenCV source code wiki has versioning and diff functionality. it is easy to use while git is not always intuitive. Anyway, how many people did bother to add comments or do something like this with or without git? |
2012-09-21 03:16:18 -0600 | commented question | comments in OpenCV source code here is a start: http://opencvcomment.com The files marked with red are in need of more comments |
2012-09-05 15:08:38 -0600 | received badge | ● Good Question (source) |
2012-09-05 06:18:35 -0600 | received badge | ● Nice Question (source) |
2012-09-04 18:13:02 -0600 | received badge | ● Student (source) |
2012-09-04 16:45:41 -0600 | received badge | ● Editor (source) |
2012-09-04 16:42:52 -0600 | asked a question | comments in OpenCV source code It is not a secret that OpenCV source code is poorly commented. So if one wants to dive deep into the source and understand, modify or speed it up it is hard to do. I plan to create a wiki where I would start painstakingly add comments (marked in a special way to distinguish them from original ones) to the most widely used modules/functions (without modifying the original code or comments). My question is whether somebody else has undertaken a similar effort? If not, what is a best way to do this? I currently got a domain and a wiki software and plan to organize it in such a way that crowdsourcing is easy and possible wrongdoing is minimized. My current problems is to how provide a right color scheme for C++ and what is the best form to prevent users from modifying or shifting around the original code or comments. Currently, I consider keeping new comments separately in some kind of xml file (internally) that can be fused with original code. A wiki user will see it (externally) as a fused version where original code/comments are unavailable for editing. |