Pertautan Citra Tampak Atas dengan Metode Stereoskopik untuk Menghilangkan Distorsi Perspektif
Endang Pertiwi(1*), Bambang Nurcahyo Prastowo(2), Lukman Awaluddin(3)
(1) Program Studi Elektronika dan Instrumentasi, FMIPA, UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Stitching citra with different object’s depth and disposed close to the camera willing caused panoramic citra with distortion perspective (caused double or disappear object) because the camera see in two dimension with large horizontal disparity by each camera. For solve that problem, stereoscopic method purpose to give depth perception of three dimension from two images with same background so information of depth by the object be able to get with intuitive way.
This research presented system with ROI segmentation for any static objects, stitching for each objects and combine them become a panoramic image then shown in citra panoramic. SIFT descriptor used for detect and extract feature from the images. The result of this system successful presented combination for stitching by the static objects.
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[1] Aung, N.L., D, K.V., Ye, K.Z. dan Htet, Z.W., 2018, The Study of the Process of Stitching Citra Images in Real Time, (1), 1831–1834,
[2] Fathima, A.A., Karthik, R. dan Vaidehi, V., 2013, IMAGE STITCHING WITH COMBINED MOMENT INVARIANTS AND SIFT FEATURES, Procedia - Procedia Computer Science, [Online] 19 (Ant), 420–427, tersedia di DOI:10.1016/j.procs.2013.06.057.
[3] Emoto, M., 2019, Depth perception and induced accommodation responses while watching high spatial resolution two-dimensional TV images, Displays, [Online] 60 (August), 24–29, tersedia di DOI:10.1016/j.displa.2019.08.005.
[4] Flavia, D.X., Meier, M., Karim, D.X. dan Horlick, M., 2019, Validation of Quantitative 3-Dimensional Transesophageal Echocardiography Mitral Valve Analysis Using Stereoscopic Display, Journal of Cardiothoracic and Vascular Anesthesia, [Online] 33 (3), 732–741, tersedia di DOI:10.1053/j.jvca.2018.08.013.
[5] Ahmed, S.E., Cheung, L., Shaban, M., Graham, S., Epstein, D., Pelengaris, S., Khan, M. dan Rajpoot, N.M., 2019, Micro-Net : A unified model for segmentation of various objects in microscopy images ✩, Medical Image Analysis, [Online] 52160–173, tersedia di DOI:10.1016/j.media.2018.12.003.
[6] Setiyawan, A., 2014, Pencocokan Citra Berbasis Scale Invariant Feature Transform (SIFT) menggunakan Arc Cosinus, Jurnal Teknik Informatika, 1–4,
[7] Karami, E., Prasad, P. dan Shehata, M., 2015, Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images, 1-5,
[8] Guo, F., Yang, J., Chen, Y. dan Yao, B., 2018, Research on image detection and matching based on SIFT features, 2018 3rd International Conference on Control and Robotics Engineering, ICCRE 2018, [Online] 130–134, tersedia di DOI:10.1109/ICCRE.2018.8376448.
[9] Putra, F. dan Gunadi, K., 2014, Aplikasi Automatic Image Stitching pada Kumpulan Gambar dalam Satu Scene, Jurnal INFRA, 250–54,
[10] Dewanti, F. dan Sumiharto, R., 2015, Purwarupa Sistem Penggabungan Foto Udara Pada UAV Menggunakan Algoritma Surf ( Speeded-Up Robust Features ) 1, 5 (2),
DOI: https://doi.org/10.22146/ijeis.50019
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