eduribeiro00/artworkrecognition-feup-vcom

Code and projects developed in the VCOM subject throughout the semester (MIEIC 4th year, 2nd semester).

VCOM Class Assignments and Projects

2020/2021 - 4th Year, 2nd Semester

Course: Visão por Computador (VCOM) | Computer Vision

Projects developed by: Eduardo Ribeiro (EduRibeiro00), Henrique Santos (HenriJSantos), Miguel Pinto (MiguelDelPinto) and Mário Mesquita (GambuzX)

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Project 1: 3D Data Acquisition using a Structured Light Technique

• Developed system that calculates the 3D coordinates of points in an image lit by a shadow plane, by using structured light techniques.
• Implemented all necessary stages in the process, including the camera calibration process, the light projection system calibration, the edge and line detection algorithms and the final calculation of 3D coordinates.
• Languages/technologies used: Python.

Grade: 19 / 20

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Project 2: Artwork Recognition using Bag of Words and CNNs

• Developed a system that can perform classification of images, applied in this case to the artwork collection dataset provided by the Metropolitan Museum of Art in New York.
• Implemented several methods and techniques to solve the problem, like using a Bag of Words descriptor + classifier, and using Convolutional Neural Networks.
• Evaluated the performance of each method using relevant metrics, and discussed the results.

Grade: 17.7 / 20

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Disclaimer - This repository was used for educational purposes and I do not take any responsibility for anything related to its content. You are free to use any code or algorithm you find, but do so at your own risk.