CS-498 Computer Vision Week 7, Day 2 Camera Parameters Intrinsic Calibration  Linear  Forward and backward projection 1.

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CS-498 Computer Vision Week 7, Day 2 Camera Parameters Intrinsic Calibration  Linear  Forward and backward projection 1

2 Optic center Optic axis intersects unit plane perpendicularly x y z Principle point Left-hand coordinate system. Uggh! (but at least the math works out nicer…)

Linear Pinhole Camera (linear in homogeneous coordinates) Projection model: Light projects along straight line onto unit plane To find the pixel index in each dimension, multiply by pixels/unit (focal length) add the index of the optic center 3

Exercise Using the information on the previous slides, Suppose a camera has the following parameters: Both focal lengths – 100 pixels/unit Center – 50 pixels down, 75 pixels to the right Find: 1. The i,j coordinates of the point (0,0,10) 2. The i,j coordinates of the point (0,10,10) 3. The i,j coordinates of the point (10,20,20) 4

Prep for Lab Exercise Given a pixel at [100, 400], find the location of the pixel on the unit plane. Also given: f = 100 pixels/unit (both directions), c = [200,300] (i comes first in all coordinates given here) Given a pixel at [100, 345], find the location of the pixel on the unit plane. Also given: f i = 100 pixels/unit, f j = 90 pixels/unit, c = [200,300] (i comes first in all coordinates given here) 5

Full calibration of a camera 6