en
Master
English

Fine-grained identification of pharmaceutical products based on local descriptors

ContributorsDabrowski, Oscar
Master program titleMaster of Science in Computer Science
Defense date2017
Abstract

In this work, the problem of fine-grained identification of pharmaceutical products is addressed. A large database of images of pharma packages acquired by modern mobile phones was created. The contribution of this thesis encompasses the development of 2 different approaches based on local descriptors and the investigation of the identification performance of these methods. Moreover, our contribution entails the setup and creation of a new database of images suitable for testing fine-grained recognition algorithms, which we hope can benefit to the computer vision community.

eng
Citation (ISO format)
DABROWSKI, Oscar. Fine-grained identification of pharmaceutical products based on local descriptors. 2017.
Main files (1)
Master thesis
accessLevelRestricted
Identifiers
  • PID : unige:99909
84views
22downloads

Technical informations

Creation12/01/2017 4:15:00 PM
First validation12/01/2017 4:15:00 PM
Update time03/15/2023 2:31:14 AM
Status update03/15/2023 2:31:13 AM
Last indexation01/29/2024 9:18:14 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack