Presentation06 - Computer Vision Lecture #6 Hossam...

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Computer Vision Lecture #6 Hossam Abdelmunim 1 2 1 Computer & Systems Engineering Department, Ain Shams University, Cairo, Egypt 2 Electerical and Computer Engineering Department, University of Louisville, Louisville, KY, USA ECE619/645 – Spring 2011
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Camera Calibration
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What is Camera Calibration? • Primarily, finding the quantities internal to the camera that affect the imaging process – Position of image center in the image It is typically not at (width/2, height/2) of image – Focal length – Different scaling factors for row pixels and column pixels – Skew factor – Lens distortion (pin-cushion effect)
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Camera Calibration, Why ? • Camera calibration is a necessary step in 3D computer vision. • A calibrated camera can be used as a quantitative sensor. • It is essential in many applications to recover 3D quantitative measures about the observed scene from 2D images. Such as 3D Euclidean structure • From a calibrated camera we can measure how far an object is from the camera, or the height of the object, etc. e.g., object avoidance in robot navigation.
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Camera Calibration • Find the intrinsic and extrinsic parameters of a camera – Extrinsic parameters: the camera’s location and orientation in the world. – Intrinsic parameters: the relationships between pixel coordinates and camera
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Presentation06 - Computer Vision Lecture #6 Hossam...

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