Sökning: "keypoint"

Visar resultat 1 - 5 av 25 uppsatser innehållade ordet keypoint.

  1. 1. 3D-Reconstruction of the Common Murre

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Johannes Hägerlind; [2023]
    Nyckelord :pose estimation; shape estimation; 3D reconstruction; articulated mesh; bird; common murre;

    Sammanfattning : Automatic 3D reconstruction of birds can aid researchers in studying their behavior. Recently there has been an attempt to reconstruct a variety of birds from single-view images. However, the common murre's appearance is different from the birds that have been studied. Moreover, recent studies have focused on side views. LÄS MER

  3. 2. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Maira Khan; [2023]
    Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

    Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

  4. 3. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Erik Zetterström; [2023]
    Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

    Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER

  5. 4. Re-recognition of vehicles for enhanced insights on road traffic

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Aron Asefaw; [2023]
    Nyckelord :Re-recognition; Computer Vision; LoFTR; Keypoints; SIFT; Transformers; Machine Learning; Homogrpahy; Deep Learning; SVM;

    Sammanfattning : This study investigates the performance of two keypoint detection algorithms, SIFTand LoFTR, for vehicle re-recognition on a 2+1 road in Täby, utilizing three differentmethods: proportion of matches, ”gates” based on the values of the features andSupport Vector Machines (SVM). Data was collected from four strategically placedcameras, with a subset of the data manually annotated and divided into training,validation, and testing sets to minimize overfitting and ensure generalization. LÄS MER

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

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Sammanfattning : 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. LÄS MER