Imagem da capa

Practical Applications of Homogeneous Coordinates in Image Transformations Using MATLAB

Na minha lista:
Publicado no:Turkish Journal of Computer and Mathematics Education vol. 16, no. 1 (2025), p. 63
Autor principal: Nazar, Nazar Mohammad
Outros Autores: Samandari, Noormal, Waqar, Ikramullah
Publicado em:
Ninety Nine Publication
Assuntos:
Robotics
Geometric transformation
Augmented reality
Programming environments
Virtual reality
Computer vision
Image registration
Affine transformations
Matlab
Medical imaging
Euclidean space
Image processing
Computer graphics
Euclidean geometry
Transformations (Mathematics)
Computers
Acesso em linha:Citation/Abstract
Full Text - PDF
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
Resumo:Homogeneous coordinates offer a robust mathematical framework for representing and executing geometric transformations in image processing, computer vision, robotics, and computer graphics. By embedding Euclidean space into a higher-dimensional projective space, they provide a unified mechanism for handling affine transformations, such as translation, rotation, scaling, and shear, as well as projective transformations like perspective projection. This study explores the practical applications of homogeneous coordinates within the MATLAB environment, leveraging its matrix manipulation capabilities to implement these transformations efficiently. Homogeneous coordinates simplify complex transformation pipelines through matrix concatenation, enabling seamless execution of combined operations while preserving computational efficiency and accuracy. Key applications demonstrated include image registration, warping, rectification, 3D modeling, and camera calibration, emphasizing their critical role in medical imaging, virtual reality, and augmented reality. MATLAB's intuitive programming environment and advanced visualization tools further enhance the accessibility and applicability of these techniques. This article provides detailed explanations, MATLAB code implementations, and visual demonstrations to bridge the gap between theoretical foundations and real-world applications, making it an invaluable resource for researchers, practitioners, and students in the fields of image processing and computer vision.
ISSN:1309-4653
DOI:10.61841/turcomat.v16i1.15087
Fonte:Science Database