Open AccessDeteksi Tungkai Bayi Pada Image Sequence Berbasis Vector Depth Estimation
Author(s) -
Faisal Lutfi Afriansyah,
Niyalatul Muna
Publication year - 2021
Publication title -
jurnal informatika polinema
Language(s) - English
Resource type - Journals
eISSN - 2614-6371
pISSN - 2407-070X
DOI - 10.33795/jip.v7i3.665
Subject(s) - artificial intelligence , computer vision , motion vector , motion (physics) , computer science , image (mathematics) , sequence (biology) , motion field , motion estimation , frame (networking) , reference frame , point (geometry) , mathematics , geometry , biology , telecommunications , genetics
Image processing in the image sequence for pattern recognition can be a solution for detecting limb movements in infants after surgery, but the camera is not calibrated. So we need the right method solution to be able to detect these conditions. This happens to cameras that are generally not calibrated and do not have the feature to calculate the vector depth for 3D reconstruction. Because to detect and find limb movement depth is needed to be able to do 3D reconstruction, because it is not only based on the x and y parameters but also z so that with the additional parameters it makes it easier to analyze the motion of the motion axis and the motion vector. This paper discusses a method for detecting 2D motion into a 3D-based motion vector by sequencing the image sequence image then finding the point of transfer of the motion frame destination from the frame reference frame by obtaining the depth (depth vector) using the fundamental matrix from the generated motion vector. This method is recommended because it can perform 3D reconstruction from input in the form of 2D image sequences by calculating the intrinsic parameters so that 3D reconstruction can be carried out. So that the limb vector movement in infants that was originally 2D can be reconstructed into 3D based and makes it easier to carry out the analysis because of the additional parameters.