A new framework for 3D point cloud reconstruction of geometric object from multi-­view images / Intan Syaherra Ramli ...[et al.]

This paper proposed a new framework to enhance the 3D point cloud reconstruction from multi-view images. The accurate 3D point cloud is crucial to produce a 3D model SURF ace which can be used in many applications. There were still challenges in the existing approach to reconstruct the accurate 3D p...

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Bibliographic Details
Main Authors: Ramli, Intan Syaherra (Author), O.K Rahmat, Rahmita Wirza (Author), Ng, Seng Beng (Author), Madzin, Hizmawati (Author), Sulaiman, Puteri Suhaiza (Author)
Format: Book
Published: Universiti Teknologi MARA, Kelantan, 2023-06-27.
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042 |a dc 
100 1 0 |a Ramli, Intan Syaherra  |e author 
700 1 0 |a O.K Rahmat, Rahmita Wirza  |e author 
700 1 0 |a Ng, Seng Beng  |e author 
700 1 0 |a Madzin, Hizmawati  |e author 
700 1 0 |a Sulaiman, Puteri Suhaiza  |e author 
245 0 0 |a A new framework for 3D point cloud reconstruction of geometric object from multi-­view images / Intan Syaherra Ramli ...[et al.] 
260 |b Universiti Teknologi MARA, Kelantan,   |c 2023-06-27. 
500 |a https://ir.uitm.edu.my/id/eprint/88621/1/88621.pdf 
520 |a This paper proposed a new framework to enhance the 3D point cloud reconstruction from multi-view images. The accurate 3D point cloud is crucial to produce a 3D model SURF ace which can be used in many applications. There were still challenges in the existing approach to reconstruct the accurate 3D point clouds as it involves various camera orientations. This paper proposed a simplified experimental setup based on pure camera translation to capture the images from four viewpoints. The geometric object measurement is used as the ground truth data to measure the accuracy. Besides, the optical flow feature match method, perspective projection and image transformation were used to reconstruct the 3D point cloud. The result shows that all objects have an average RMSD value of 1.24mm in width and 1.26mm in depth. These values are lower than the previous method based on the images captured using known rotation, indicating higher accuracy. In future, the generated 3D point cloud can be used to create the 3D model SURF ace. 
546 |a en 
690 |a Geometry. Shapes. General works, treatises, and textbooks 
690 |a Geometrical models 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/88621/ 
787 0 |n https://journal.uitm.edu.my/ojs/index.php/JMCS 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/88621/  |z Link Metadata