COMPUTER VISION TECHNQIUES COMBINES WITH DEEP LEARNING FOR DEFECT DEETECTION IN BUILDINDS AND CIVIL INFRSTRUCTURES

Ref.No: 67122600
Start date: 30.09.2021
End date: 31.12.2022
Approval date: 30.09.2021
Department: RURAL & SURVEYING ENGINEERING
Sector: TOPOGRAPHY SCOPE
Financier: ΕΠΙΒΡΑΒΕΥΣΗ 2019, GENIKH GRAMMATEIA EREYNAS KAI TEXNOLOGIAS
Budget: 8.404,88 €
Public key: 6ΡΓΠ46ΨΖΣ4-ΚΦΥ
Scientific Responsible: Assist. Prof. DOULAMIS
Email: adoulam@cs.ntua.gr
Description: NOWADAYS, THERE IS A GREAT TECHNOLOGICAL PROGRESS IN THE BROAD FIELD OF COMPUTER VISION WITH THE AUTOMATED DETECTION OF VISUAL FEATURES/ATTRIBUTES IN IMAGES AND IMAGE SEQUENCES WHICH CAN BE INVARIANT TO ANY AFFINE TRANSFORMATION. ON THE OTHER HAND, THER
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