Jump to content

Camera resectioning: Difference between revisions

From Wikipedia, the free encyclopedia
Content deleted Content added
No edit summary
No edit summary
Line 1: Line 1:
{{Orphan|date=August 2006}}
{{Orphan|date=August 2006}}
{{context}}
{{context}}
In Computer Vision, '''camera resectioning''' consists in estimating the camera projection matrix from corresponding 3D world and image entities. See Hartley & Zisserman Chapter 7. The camera projection matrix are also known as the extrinsic parameters of the camera, and are often represented by the combination of two transforms; a vector translation and a 3x3 rotation matrix. The camera projection matrix is used to refer points in a camera's normalized image space, into 3D world space.<br/>
In Computer Vision, '''camera resectioning''' consists in estimating the camera projection matrix from corresponding 3D world and image entities. See Hartley & Zisserman Chapter 7. The camera projection matrix are also known as the intrinsic and extrinsic parameters of the camera, and are often represented by the combination of three transforms; a matrix of camera intrinsic parameters, a 3x3 rotation matrix, and a translation vector. The camera projection matrix is used to refer points in a camera's image space, into 3D world space.<br/>


Camera resectioning is often used in the application of [[Stereo vision]] where the camera projection matrices of two cameras are used to calculate the 3D world ordinates of a point viewed by both cameras.
Camera resectioning is often used in the application of [[Stereo vision]] where the camera projection matrices of two cameras are used to calculate the 3D world ordinates of a point viewed in both camera images.


Some people call this camera calibration, but many restrict the term [[Camera calibration]] for the estimation of internal or intrinsic parameters only. The open source computer vision library OpenCV, however, refers to camera calibration as the estimation of both the intrinsic and extrinsic parameters of the camera, see OpenCV documentation for more details.
Some people call this camera calibration, but many restrict the term [[Camera calibration]] for the estimation of internal or intrinsic parameters only.


{{photography-stub}}
{{photography-stub}}

Revision as of 22:28, 18 September 2007

In Computer Vision, camera resectioning consists in estimating the camera projection matrix from corresponding 3D world and image entities. See Hartley & Zisserman Chapter 7. The camera projection matrix are also known as the intrinsic and extrinsic parameters of the camera, and are often represented by the combination of three transforms; a matrix of camera intrinsic parameters, a 3x3 rotation matrix, and a translation vector. The camera projection matrix is used to refer points in a camera's image space, into 3D world space.

Camera resectioning is often used in the application of Stereo vision where the camera projection matrices of two cameras are used to calculate the 3D world ordinates of a point viewed in both camera images.

Some people call this camera calibration, but many restrict the term Camera calibration for the estimation of internal or intrinsic parameters only.