STEREOVISION METHOD WITH TWO CAMERAS TO DETERMINE FABRIC DENSITY

• Main Author: E Siadari, Darwin
• Format: Final Project
• Language: Indonesia
• Subjects: Teknologi
• Online Access: https://digilib.itb.ac.id/gdl/view/77388
• Institution: Institut Teknologi Bandung

3D image reconstruction is one of the techniques used to determine the depth of an object. In this research, the fabric 3D image reconstruction process is performed using the stereovision method. For this method, it is necessary to design an image recording system using two cameras. The image recording system designed has several parameters such as the distance between the camera centers of 2 cm, the distance between the object and the camera is 4 cm and the angle of the camera to the vertical axis is 10º. Before performing the fabric reconstruction process, first the camera calibration and stereo image recording process are performed. For the reconstruction process is done using python programming language. Furthermore, the reconstruction results in the form of point clouds are stored in the form of .ply so that it is easier to analyze using meshlab 2022 software. Based on the reconstruction results, the area that was successfully reconstructed was measured. As a result, there are five types of fabrics successfully reconstructed at a value of 100% while the pink diamond satin fabric and bali box are 60.44% and 84.23%. The reconstructed fabric is measured using gray level profile method (GLPM). The results of the density calculation based on the error value in the warp and weft for the box and canvas fabric types are 0%. The plain satin fabric has an error in the warp of 4,16% and weft of 0%. The pink and light blue diamond satin fabrics have errors in the warp of 0% and 3,2% respectively and in the weft of 3,5% and 0%. Based on the error value, it can be concluded that the reconstructed image with the stereovision method is able to measure the density of the fabric. The