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2016-04-02 20:36:52 -0600 | commented question | Watershed not working like expected here is the matlab code: https://gist.github.com/amroamroamro/... |

2016-03-27 09:21:44 -0600 | received badge | ● Enthusiast |

2016-03-24 12:21:24 -0600 | received badge | ● Student (source) |

2016-03-24 10:58:31 -0600 | commented question | Watershed not working like expected I'm using https://github.com/kyamagu/mexopencv Matlab MEX functions that interface OpenCV 3.0.1 APIs |

2016-03-24 10:30:55 -0600 | received badge | ● Editor (source) |

2016-03-24 10:28:29 -0600 | asked a question | Watershed not working like expected Hey, I'm using Matlab to use OpenCV functions, I succesfully used the watershed function from Matlab, but OpenCV variant is not working. I'm using following int8 depth image: because openCV using RGB image format, I replicated these values in a MxNx3-matrix. As marker I have an int32 matrix where I pointed every local minimum (5 in total), By using following function The segmented matrix looks like this: In Matlab using following function (even without markers) This is the correct result: Where am I wrong? Thank you |

2016-03-22 12:41:04 -0600 | asked a question | How to calibrate a 3D camera? Hey I’m using a 3D camera (ToF camera). On the internet I didn’t find a clear way to calibrate this camera. I receive a luminance image and a depth image (radius distance). This is what I have in mind for calibration method: Put a checkerboard pattern on a table. Now use this pattern to determine the intrinsic and extrinsic parameters: extrinsic: I can use this pattern to create a new base where the checkerboard is the new (x,y)-plane (z=0). intrinsic: the x, y, (z?) values of the squares should be correct now. Which functions do I need to use to achieve this? Or what is the conventional way to calibrate a ToF-camera? Thank you. |

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