# Computer Vision Engineer Interview Questions

Computer vision engineer interview questions shared by candidates

## Top Interview Questions

Why does one use MSE as a measure of quality. What is the scientific/mathematical reason for the same? Mean-Square error is an error metric for measuring image or video quality it is popular video and image quality metric because the analysis and mathematics is easier with this L2-Norm metric. Most video and image quality experts will agree that MSE is not a very good measure of perceptual video and image quality. The mathematical reasoning behind the MSE is as follows: For any real applications, noise in the readings or the labels is inevitable. We generally assume this noise follows Gaussian distribution and this holds perfectly well for most of the real applications. Considering 'e' follows gaussian distribution in y=f(x) + e and calculating the MLE, we get MSE which is also L2 distance. Note: Assuming some other noise distribution may lead to other MLE estimate which will not be MSE. |

How would you code up a custom rectangle detector? |

write the c function for the atoi function. |

Given a 2D grid consisting of links and vacancies represented by a 2D array and assume you can move from either down (j,k)->(j+1,k) or to the right (j,k)->(j,k+1) unless there is a vacancy |

Describe your machine learning experiance |

I also had a phone screen where they asked me to write code on a shared screen. I think they asked me to remove duplicates from an array. The phone interview was quite straightforward and good. |

How would you send an encoded message in an image. First encode it, then write code to decode it. |

Transpose a Matrix. First do it using extra memory, then do it in place. |

Singleton pattern |

I had a take home assignment - which you code up and bring with you to the interview for a panel discussion and presentation. I had to implement a blob detection algorithm. |

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