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Found 4 essays matching the above criteria.

  1. 1. Automatic text placement on maps using deep learning keypoint detection models

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Azin Khosravi Khorashad; [2022]
    Keywords : machine learning; Stacked hourglass networks; attention mechanism; CNN; geomatics; Earth and Environmental Sciences;

    Abstract : Labeling the map is one of the most essential parts of the cartographic process that requires a huge time and energy. It is proven that the automation of map labeling is an NP-hard problem. There have been many research studies that tried to solve it such as rule-based methods, metaheuristics, and integer programming. READ MORE

  3. 2. Comparing Convolutional Neural Networks to traditional methods and the human eye for copy-move forgery detection

    University essay from KTH/Datavetenskap

    Author : David Kaméus; Daniel Ericsson; [2022]
    Keywords : ;

    Abstract : A common image forgery technique is called copy-move forgery, in which a part of an image has been copied and placed elsewhere to cover some other part of the image. This study compares implementations of both traditional and deep learning methods for copy-move forgery detection, as well as human ability to do the same. READ MORE

  4. 3. Continuous Balance Evaluation by Image Analysis of Live Video : Fall Prevention Through Pose Estimation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Henrik Runeskog; [2021]
    Keywords : Fall prevention; balance estimation; center of mass; center of pressure; human pose estimation; human keypoint detection; Fallprevention; balansestimering; tyngdpunkt; tryckcentrum; kroppshållningsestimation;

    Abstract : The deep learning technique Human Pose Estimation (or Human Keypoint Detection) is a promising field in tracking a person and identifying its posture. As posture and balance are two closely related concepts, the use of human pose estimation could be applied to fall prevention. READ MORE

  5. 4. Digitizing notes using a moving smartphone : Evaluating Oriented FAST and Rotated BRIEF (ORB)

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Johan Wieslander; [2021]
    Keywords : Augmented reality; Computer vision; Mobile applications; Object detection; Feature extraction; Human computer interaction; Augmented reality; Förstärkt verklighet; Datorseende; Mobila applikationer; Objectdetektion; Människa-datorinteraktion;

    Abstract : This thesis investigates the problem of tracking objects for an Augmented Reality (AR) setting. More specifically, the issue of tracking Post-It® notes to be used in a Mobile Augmented Reality (MAR) application using the Oriented FAST and Rotated BRIEF (ORB) keypoint extractor and descriptor, is investigated. READ MORE