Monocular Camera Calibration based on Genetic Simulated Annealing Algorithms Hafsa Khrouch, Abdelaaziz Mahdaoui, Mostafa Merras, Abdellah Marhraoui Hsaini, Idriss Chana, et al. Engineering Technology and Applied Science Research, 2024 This study presents a nonlinear camera calibration approach based on combining genetic and simulated annealing algorithms. This is a global optimization technique, which combines simulated annealing with genetic algorithms to find the optimal camera's intrinsic and extrinsic parameters. Since this matter is considered an optimization problem by several studies, a novel hybrid approach was developed and studied based on two powerful nature-inspired techniques to find the intrinsic and extrinsic parameters of the camera. Numerous experiments were conducted to evaluate the efficiency of the proposed approach. The results demonstrate that the proposed hybrid approach is robust, reliable, and accurate.
Camera Calibration Based on Elitist Genetic Algorithm Hafsa Khrouch, Abdelaaziz Mahdaoui, Mouad Tantaoui, Idriss Chana, Aziz Bouazi 2024 4th International Conference on Innovative Research in Applied Science Engineering and Technology Iraset 2024, 2024 Camera calibration presents an essential computer vision task for many applications, including augmented reality, 3D reconstruction, and object tracking. In this paper, we present an elitist genetic algorithm for camera calibration to determine the intrinsic and extrinsic camera parameters, then a comparison of the proposed algorithm and standard genetic algorithm. The primary goal is the use of fitness function minimization to identify the best solution for the camera parameters. Proposed method is robust and gives good results as demonstrated by our experiments.
A Study and Comparison of Different 3D Reconstruction Methods Following Quality Criteria A. Akdim, A. Mahdaoui, H. Roukhe, A. Marhraoui Hseini, A. Bouazi International Journal of Advances in Soft Computing and Its Applications, 2022 3D image of a real object is a process that must be passed through two stages. The first is scanning real object by using 3D scanner, this step allows the acquisition of 3D point cloud of the object. The second is the reconstruction step, where the construction of the mesh that represents the real object is done. The surface reconstruction is carried out by means of an existing surface reconstruction method. Mesh reconstruction techniques can be grouped into two categories: the combinatorial approach and the approach by adjusting a predefined model. A large number of combinatorial methods have the principle of establishing relations between the points of a sample. The second approach is based on the idea of approximating the sampled surface using predefined models, built on global or local assumptions concerning the shape to be reconstructed. In this paper, a review of literature and experimental studies of 3d reconstruction methods, that exist in the literature, are realized then a comparison, between these methods based on Frey criterion that represents the quality of the produced surface and execution time. The experimental results show that in terms of surface quality, Ball Pivoting technique, presents a good result. However, alpha shapes method gives relevant results in execution time. Keywords: 3D reconstruction, Delaunay triangulation, Alpha Shapes, Ball Pivoting Algorithm, Poisson Method, Frey Quality, RBF, MLS
3D Point Cloud Simplification Based on k -Nearest Neighbor and Clustering Abdelaaziz Mahdaoui, El Hassan Sbai Advances in Multimedia, 2020 While the reconstruction of 3D objects is increasingly used today, the simplification of 3D point cloud, however, becomes a substantial phase in this process of reconstruction. This is due to the huge amounts of dense 3D point cloud produced by 3D scanning devices. In this paper, a new approach is proposed to simplify 3D point cloud based on k-nearest neighbor (k-NN) and clustering algorithm. Initially, 3D point cloud is divided into clusters using k-means algorithm. Then, an entropy estimation is performed for each cluster to remove the ones that have minimal entropy. In this paper, MATLAB is used to carry out the simulation, and the performance of our method is testified by test dataset. Numerous experiments demonstrate the effectiveness of the proposed simplification method of 3D point cloud.
3D point cloud simplification based on the clustering algorithm and introducing the Shannon's entropy Abdelaaziz Mahdaoui, El Hassan SBAI Proceedings of SPIE the International Society for Optical Engineering, 2020 In the field of 3D digitization of real objects using modern scanning devices, dense point clouds can be obtained. This data point can have redundancy. To solve this problem, we present a new simplification method based on clustering and Shannon's entropy. This approach optimizes the number of 3D point clouds by keeping the original point cloud characteristics. To show the robustness of the technique, we have applied it on different point cloud and making comparisons with other methods. It can be said, according to the obtained results, that our method is effective.
Comparison of K-means and fuzzy C-means algorithms on simplification of 3D point cloud based on entropy estimation Abdelaaziz Mahdaoui, Aziz Bouazi, Abdallah Marhraoui Hsaini, El Hassan Sbai Advances in Science Technology and Engineering Systems, 2017 A R T I C L E I N F O A B S T R A C T Article history: Received: 13 June, 2017 Accepted: 15 July, 2017 Online: 10 December, 2017 In this article we will present a method simplifying 3D point clouds. This method is based on the Shannon entropy. This technique of simplification is a hybrid technique where we use the notion of clustering and iterative computation. In this paper, our main objective is to apply our method on different clouds of 3D points. In the clustering phase we will use two different algorithms; K-means and Fuzzy C-means. Then we will make a comparison between the results obtained.
RECENT SCHOLAR PUBLICATIONS
Improving camera parameter estimation using an adaptive genetic algorithm H Khrouch, A Mahdaoui, A Marhraoui Hsaini, M Merras, I Chana, ... Signal, Image and Video Processing 19 (2), 113 , 2025 2025 Citations: 7
Monocular Camera Calibration based on Genetic Simulated Annealing Algorithms H Khrouch, A Mahdaoui, M Merras, AM Hsaini, I Chana, A Bouazi Engineering, Technology & Applied Science Research 14 (6), 18348-18356 , 2024 2024 Citations: 2
Camera Calibration Based on Elitist Genetic Algorithm H Khrouch, A Mahdaoui, M Tantaoui, I Chana, A Bouazi 2024 4th International Conference on Innovative Research in Applied Science … , 2024 2024 Citations: 3
A Study and Comparison of Different 3D Reconstruction Methods Following Quality Criteria. A Akdim, A Mahdaoui, H Roukhe, A Marhraoui Hseini, A Bouazi, ... International Journal of Advances in Soft Computing & Its Applications 14 (3) , 2022 2022 Citations: 7
Simplification 3d Points Cloud Method Based On Importance Of 3d Points M Abdelaaziz, SE Hassan International Journal of Scientific Research and Innovative Studie 1 (1), 23-35 , 2022 2022
3D point cloud simplification based on the clustering algorithm and introducing the Shannon’s entropy A Mahdaoui, E Hassan SBAI Thirteenth International Conference on Machine Vision 11605, 174-182 , 2021 2021 Citations: 9
3D Point Cloud Simplification Based on k ‐Nearest Neighbor and Clustering A Mahdaoui, EH Sbai Advances in Multimedia 2020 (1), 8825205 , 2020 2020 Citations: 45
Simplification Method Using K-NN Estimation and Fuzzy C-Means Clustering Algorithm A Mahdaoui, A Bouazi, AH Marhraoui, EH Sbai Science and Information Conference, 305-318 , 2018 2018 Citations: 2
Entropic Method for 3D Point Cloud Simplification A Mahdaoui, A Bouazi, AM Hsaini, EH Sbai Proceedings of the Mediterranean Symposium on Smart City Applications, 613-621 , 2017 2017 Citations: 6
Comparison of K-Means and Fuzzy C-Means Algorithms on Simplification of 3D Point Cloud Based on Entropy Estimation EHS Abdelaaziz Mahdaoui, Aziz Bouazi, Abdallah Marhraoui Hsaini Advances in Science, Technology and Engineering Systems Journal (ASTESJ) 2 … , 2017 2017 Citations: 9
Comparative study of combinatorial 3D reconstruction algorithms A Mahdaoui, AM Hsaini, A Bouazi, EH Sbai International Journal of Engineering Trends and Technology 48 (5), 247-251 , 2017 2017 Citations: 9
Reconstruction and adjustment of surfaces from a 3-D point cloud AM Hsaini, A Bouazi, A Mahdaoui, EH Sbai, AR Bernstein-bezier nternational J. Comput. Trends Technol 37 (2), 105109 , 2016 2016 Citations: 4
Application des surfaces de Bézier pour la reconstruction 3-D AM Hsaini, A Bouazi, A Mahdaoui, EH Sbai Revue Interdisciplinaire 1 (1) , 2016 2016
MOST CITED SCHOLAR PUBLICATIONS
3D Point Cloud Simplification Based on k ‐Nearest Neighbor and Clustering A Mahdaoui, EH Sbai Advances in Multimedia 2020 (1), 8825205 , 2020 2020 Citations: 45
3D point cloud simplification based on the clustering algorithm and introducing the Shannon’s entropy A Mahdaoui, E Hassan SBAI Thirteenth International Conference on Machine Vision 11605, 174-182 , 2021 2021 Citations: 9
Comparison of K-Means and Fuzzy C-Means Algorithms on Simplification of 3D Point Cloud Based on Entropy Estimation EHS Abdelaaziz Mahdaoui, Aziz Bouazi, Abdallah Marhraoui Hsaini Advances in Science, Technology and Engineering Systems Journal (ASTESJ) 2 … , 2017 2017 Citations: 9
Comparative study of combinatorial 3D reconstruction algorithms A Mahdaoui, AM Hsaini, A Bouazi, EH Sbai International Journal of Engineering Trends and Technology 48 (5), 247-251 , 2017 2017 Citations: 9
Improving camera parameter estimation using an adaptive genetic algorithm H Khrouch, A Mahdaoui, A Marhraoui Hsaini, M Merras, I Chana, ... Signal, Image and Video Processing 19 (2), 113 , 2025 2025 Citations: 7
A Study and Comparison of Different 3D Reconstruction Methods Following Quality Criteria. A Akdim, A Mahdaoui, H Roukhe, A Marhraoui Hseini, A Bouazi, ... International Journal of Advances in Soft Computing & Its Applications 14 (3) , 2022 2022 Citations: 7
Entropic Method for 3D Point Cloud Simplification A Mahdaoui, A Bouazi, AM Hsaini, EH Sbai Proceedings of the Mediterranean Symposium on Smart City Applications, 613-621 , 2017 2017 Citations: 6
Reconstruction and adjustment of surfaces from a 3-D point cloud AM Hsaini, A Bouazi, A Mahdaoui, EH Sbai, AR Bernstein-bezier nternational J. Comput. Trends Technol 37 (2), 105109 , 2016 2016 Citations: 4
Camera Calibration Based on Elitist Genetic Algorithm H Khrouch, A Mahdaoui, M Tantaoui, I Chana, A Bouazi 2024 4th International Conference on Innovative Research in Applied Science … , 2024 2024 Citations: 3
Monocular Camera Calibration based on Genetic Simulated Annealing Algorithms H Khrouch, A Mahdaoui, M Merras, AM Hsaini, I Chana, A Bouazi Engineering, Technology & Applied Science Research 14 (6), 18348-18356 , 2024 2024 Citations: 2
Simplification Method Using K-NN Estimation and Fuzzy C-Means Clustering Algorithm A Mahdaoui, A Bouazi, AH Marhraoui, EH Sbai Science and Information Conference, 305-318 , 2018 2018 Citations: 2
Simplification 3d Points Cloud Method Based On Importance Of 3d Points M Abdelaaziz, SE Hassan International Journal of Scientific Research and Innovative Studie 1 (1), 23-35 , 2022 2022
Application des surfaces de Bézier pour la reconstruction 3-D AM Hsaini, A Bouazi, A Mahdaoui, EH Sbai Revue Interdisciplinaire 1 (1) , 2016 2016
