Camera Self-Calibration with Varying Intrinsic Parameters by an Unknown Three-Dimensional Scene
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
In the present paper, we will propose a new and robust method of camera self-calibration having varying intrinsic parameters from a sequence of images of an unknown 3D object. The projection of two points of the 3D scene in the image planes is used to determine the projection matrices. The present method is based on the formulation of a non linear cost function from the determination of a relationship between two points of the scene with their opposite relative to the axis of abscise and their projections in the image planes. The resolution of this function with genetic algorithm enables us to estimate the intrinsic parameters of different cameras. The important of our approach reside in the use of a single pair of images which provides fewer equations, simplifies the mathematical complexities and minimizes the execution time of the application, the use of the data of the first image only without the use of the data of the second image, the use of any camera which makes the intrinsic parameters variable not constant and the use of a 3D scene reduces the planarity constraints. The experimental results on synthetic and real data prove the performance and robustness of our approach.
Authors and Affiliations
B. SATOURI, A. EL ABDERRAHMANI, H. TAIRI, K. SATORI
Keywords
Related Articles
- EP ID EP154471
- DOI 10.14569/IJACSA.2016.070911
- Views 84
- Downloads 0
Palm Vein Verification System based on Nonsubsampled Contourlet Transform
This document presents a new approach in verification system to verify the identity of person by his intrinsic characteristics “Palm vein” which is unique, universal and easy to captured. The first step in this system is...
An Accelerated Architecture Based on GPU and Multi-Processor Design for Fingerprint Recognition
Fingerprint recognition is widely used in security systems to recognize humans. In both industry and scientific literature, many fingerprint identification systems were developed using different techniques and approaches...
Analysis of Zigbee Data Transmission on Wireless Sensor Network Topology
The purpose of this study is to measure the distance in the line of sight environment and to see the data resulted from zigbee transmission by using star, mesh and tree topologies by using delay, throughput and packet lo...
Performance Analysis of Machine Learning Algorithms for Missing Value Imputation
Data mining requires a pre-processing task in which the data are prepared, cleaned, integrated, transformed, reduced and discretized for ensuring the quality. Missing values is a universal problem in many research domain...
A New PHP Discoverer for Modisco
MoDisco is an Eclipse Generative Modeling Technologies project (GMT Project) intended to make easier the design and building of model-based solutions that are dedicated to legacy systems Model-Driven Reverse Engineering...