Camera self-calibration from bivariate polynomials derived from Kruppa's equations
This paper presents a new set of equations for the self-calibration of a moving camera with
constant intrinsic parameters. Unlike most existing methods that require solving equations in …
constant intrinsic parameters. Unlike most existing methods that require solving equations in …
Kruppa equation based camera calibration from homography induced by remote plane
Camera calibration is an indispensable step in retrieving 3D metric information from 2D
images. One classical self-calibration method is based on Kruppa equation derived from …
images. One classical self-calibration method is based on Kruppa equation derived from …
Aerial video georegistration using terrain models from dense and coherent stereo matching
In the context of aerial imagery, one of the first steps toward a coherent processing of the
information contained in multiple images is geo-registration, which consists in assigning …
information contained in multiple images is geo-registration, which consists in assigning …
Camera self-calibration from bivariate polynomial equations and the coplanarity constraint
This paper presents a new approach for self-calibrating a moving camera with constant
intrinsic parameters. Unlike existing methods, the proposed method turns the self-calibration …
intrinsic parameters. Unlike existing methods, the proposed method turns the self-calibration …
Camera self-calibration with parallel screw axis motion by intersecting imaged horopters
We present a closed-form method for the self-calibration of a camera (intrinsic and extrinsic
parameters) from at least three images acquired with parallel screw axis motion, ie the …
parameters) from at least three images acquired with parallel screw axis motion, ie the …
Camera self-calibration using linear features from targets
L Zhang, D Wu - … on Graphics and Image Processing (ICGIP …, 2020 - spiedigitallibrary.org
Objective of camera calibration is to provide a transformation between object space and
image space in practical computer vision tasks. Thus, in order to acquire the accurate and …
image space in practical computer vision tasks. Thus, in order to acquire the accurate and …
Quarch: A new quasi-affine reconstruction stratum from vague relative camera orientation knowledge
We present a new quasi-affine reconstruction of a scene and its application to camera self-
calibration. We refer to this reconstruction as QUARCH (QUasi-Affine Reconstruction with …
calibration. We refer to this reconstruction as QUARCH (QUasi-Affine Reconstruction with …
Camera self-calibration from triplets of images using bivariate polynomials derived from Kruppa's equations
In this paper, new equations for the self-calibration of a moving camera with unchanged
intrinsic parameters are proposed. Unlike most existing methods that require solving …
intrinsic parameters are proposed. Unlike most existing methods that require solving …
The complex of lines from successive points and the Horopter
JM Selig - 2008 IEEE International Conference on Robotics …, 2008 - ieeexplore.ieee.org
The Horopter is the set of points in space which project to the same image points in the two
cameras of a stereo vision system. Modern proofs are given for many of the classical results …
cameras of a stereo vision system. Modern proofs are given for many of the classical results …
Camera self-calibration under the constraint of distant plane
Kruppa equation based camera self-calibration is one of the classical problems in computer
vision. Most state-of-the-art approaches directly solve the quadratic constraints derived from …
vision. Most state-of-the-art approaches directly solve the quadratic constraints derived from …