Where is the camera center in camera coordinates?

Tressa Hilpert asked a question: Where is the camera center in camera coordinates?
Asked By: Tressa Hilpert
Date created: Mon, Jun 28, 2021 4:56 PM


Top best answers to the question «Where is the camera center in camera coordinates»

Camera position

This is also the homogeneous representation of the 3D point which has coordinates (0,0,0), that is, the "camera center" (aka the entrance pupil; the position of the pinhole of a pinhole camera) is at O.


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Blender has a great function to convert world coordinates to camera coordinates. However, in my case I am trying to do the exact opposite and can't find an existing method of doing so. I have tried reversing the math on this but haven't had any success. I have attached the function here from bpy_extras/object_utils.py

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9 other answers

That got me set in the right direction, but I found a more direct way to get the camera vector in my chunk coordinates. This is the code I'm using, if it's useful to anyone. Code: [Select] import PhotoScan #Photoscan 1.4.1. file1 = open (path, "wt") chunk = PhotoScan.app.document.chunk #active chunk.

• Transformation from camera frame to pixel coordinates: – Coordinates (x im,y im) of image point in pixel units related to coordinates (x,y) of same point in camera ref frame by: x = - (x im –o x)s x y = - (y im –o y)s y where (o x,o y) is the image center and s x, s y denote size of pixel (Note: - sign in equations above are due to opposite orientations

camera coordinates is at the center of projection of the camera (say at d~ w in world coords). The z-axis is taken to be the optical axis of the camera (with points infront of the camera in the positive z direction). • Image coordinate frame, p~. The image coordinates are written as a 3-vector,p~ = (p1,p2,1)T, with p1 and p2 the pixel coordinates of the image

In computer vision a camera matrix or (camera) projection matrix is a matrix which describes the mapping of a pinhole camera from 3D points in the world to 2D points in an image.. Let be a representation of a 3D point in homogeneous coordinates (a 4-dimensional vector), and let be a representation of the image of this point in the pinhole camera (a 3-dimensional vector).

This method centers the object's origin in the camera viewport. If you want to center the geometry position its origin at the center of mass first.⎈ Ctrl⇧ Shift⎇ AltS. The green circle indicates the desired position. The plane (perpendicular to the camera) indicates where the object is supposed to move.

camera = chunk.cameras[0] vc = camera.center vc.size = 4 vc.w = 1 vt = chunk.transform * vc vt = chunk.projection.project(vt) So in the vt vector you'll have estimated coordinates.

It defines methods that are common to all camera models: get_camera_center that returns the optical center of the camera in world coordinates; get_world_to_view_transform which returns a 3D transform from world coordinates to the camera view coordinates (R, T) get_full_projection_transform which composes the projection

The coordinates of point Q relative to this coordinate system is (,). The pinhole aperture of the camera, through which all projection lines must pass, is assumed to be infinitely small, a point. In the literature this point in 3D space is referred to as the optical (or lens or camera) center. Formulation

The camera center is Cc = [0, 0, 0] in camera coordinates. In ground coordinates it is then: Cg = -R' * t where R' is the transpose of R.

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