3. How do we take camera focal length into account in pinhole camera model when doing 3d to 2d projection? We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, z] We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, fz] We devide image coordinates by f 4. What is the smallest amount of images we need to calibrate the camera matrix using the algorithm described in the lecture and why? 3 images because camera has 3 intrinsic parameters (f, cx, cy) 3 images because each image gives us 2 equations on K^-1 K matrix, which has 6 degrees of freedom O 8 images because in the algorithm we need to first estimate the homography matrix H = KR, which has 8 degrees of freedom
3. How do we take camera focal length into account in pinhole camera model when doing 3d to 2d projection? We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, z] We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, fz] We devide image coordinates by f 4. What is the smallest amount of images we need to calibrate the camera matrix using the algorithm described in the lecture and why? 3 images because camera has 3 intrinsic parameters (f, cx, cy) 3 images because each image gives us 2 equations on K^-1 K matrix, which has 6 degrees of freedom O 8 images because in the algorithm we need to first estimate the homography matrix H = KR, which has 8 degrees of freedom
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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# Computer Vision
# Geometry Quiz
![3. How do we take camera focal length into account in pinhole camera model when doing 3d to 2d projection?
We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, z]
We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, fz]
We devide image coordinates by f
4. What is the smallest amount of images we need to calibrate the camera matrix using the algorithm described in the
lecture and why?
3 images because camera has 3 intrinsic parameters (f, cx, cy)
3 images because each image gives us 2 equations on K^-1 K matrix, which has 6 degrees of freedom
O 8 images because in the algorithm we need to first estimate the homography matrix H = KR, which has 8
degrees of freedom](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa040abc5-8ab2-450b-b204-641f94fadada%2F140107ae-b643-487b-ad01-323a4d685787%2F4w4z27c_processed.png&w=3840&q=75)
Transcribed Image Text:3. How do we take camera focal length into account in pinhole camera model when doing 3d to 2d projection?
We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, z]
We add f parameter to the intrinsic matrix such that after multiplication point [x,y,z] is equal to [fx, fy, fz]
We devide image coordinates by f
4. What is the smallest amount of images we need to calibrate the camera matrix using the algorithm described in the
lecture and why?
3 images because camera has 3 intrinsic parameters (f, cx, cy)
3 images because each image gives us 2 equations on K^-1 K matrix, which has 6 degrees of freedom
O 8 images because in the algorithm we need to first estimate the homography matrix H = KR, which has 8
degrees of freedom
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