Computer Vision

Tahun Akademik:
Genap 2023/2024
Kelas-Offr:
A-A1
Deskripsi:
-Konsep dasar pembentukan gambar (image formation) -Pengolahan gambar (image processing) -Deteksi fitur dan matching -Segmentasi -Fitur base aligmen -Struktur from motion -Dense motion estimation -Image stitching -Stereo corespondence -3d reconstruction -Image base rendering -Recognition -Conclusion -Linear algebra & numerical technic -Bayesian modeling
Capaian Pembelajaran
  • Mahasiswa memahami teknologi computer vision dan berbagai algoritma yang digunakan untuk pengolahan citra dan video serta penerapannya.
Daftar Pustaka:
  • -Szeliski, R. 2011. Computer Vision: Algorithms and Applications. Amerika: Springer.
  • -Prince, S. J. D. 2012. Computer Vision: Models, Learning, and Inference. Amerika: Cambrige University Press.
  • -Baggio, D. L., Escriva, D. M., Mahmood, N., dan Shilkrot, R. 2012. Mastering OpenCV with Practical Computer Vision Projects. Birmingham: Packt Publising.
  • -Bradski, G. dan Kaehler, A. 2008. Learning OpenCV: Computer Vision with the OpenCV Library. Amerika: O'Reilly Media Inc.
  • -Leganiere, R. 2011. OpenCV 2 Computer Vision Application Programming Cookbook. Birmingham: Packt Publishing.
  • -Cyganek, B. dan Siebert, J. P. 2009. An Introduction to 3D Computer Vision Techniques and Algorithms. United Kingdom: Wiley