IMPROVING CAMERA POSE ESTIMATION USING SWARM PARTICLE ALGORITHMS

Most computer vision and photogrammetry applications rely on accurately estimating the camera pose, such as visual navigation, motion tracking, stereo photogrammetry, and structure from motion. The Essential matrix is a well-known model in computer vision that provides information about the relative...

Full description

Saved in:

Bibliographic Details
Published in:	International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-M-3-2023; pp. 87 - 93
Main Authors:	Elashry, A., Toth, C.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 05.09.2023 Copernicus Publications
Subjects:	Algorithms Cameras Collinearity Computer vision Cost function Estimation Evolutionary algorithms Genetic algorithms Iterative methods Navigation Optimization techniques Particle swarm optimization Photogrammetry Point pairs Pose estimation Principal point Robustness Solution space Tracking
ISSN:	2194-9034, 1682-1750, 2194-9034
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!