they ask about Academic Projects
Computer Vision Intern Interview Questions
1,049 computer vision intern interview questions shared by candidates
General interview and technical interview included questions on classic computer vision algorithms: homography, RANSAC, sift, etc. The technical interview included questions on detecting outliers, regression and statistics
Questions related to deep learning frameworks like ResNet etc.
What is HoG? Explain it.
what is your contribution in your team?
What are the object detection algorithms?
What relevant projects have you tackled with regards to the position that you are applying for?
Mostly standard pre-prepared questions. Very little directly enquiring about me as a candidate, and I would guess that several of the interviewers hadn't even looked at my CV. Coding tests included coding on image processing algorithms relevant to the role.
SLAM ; python sorting basics, efficent optimization, OOP basics; morphology, Global co-ordinate estimation from camera coordinate , etc. vanishing points, camera extrensic , camera intrinsics , SURF , point descriptors; fundamental matrix essential matrix; deep learning , machine learning ; bundle algorithms
What are fundamental, essential, and homography matrices and how are they different from each other? What are the components of a camera intrinsics matrix? How do you correct for lens distortion? What are the units of the elements in the camera intrinsics matrix? What happens to the camera intrinsics after you crop an image? How do you convert from 3D world coordinates to 2D mage coordinates?
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