Sökning: "SIFT feature"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden SIFT feature.

  1. 1. Determining Important Features for Melanoma Classification Through Feature Selection

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

    Författare :Vilmer Jonsson; Tor Strimbold; [2023]
    Nyckelord :;

    Sammanfattning : Skin cancer is a common disease and malignant melanoma is the most dangerous form of it. Although dangerous, the survival rate of melanoma patients is high if the diagnosis is made at an early stage. Computer aided diagnostics has been shown to have potential in accurately diagnosing the disease utilizing machine learning. LÄS MER

  3. 2. Implementation and Evaluation of Monocular SLAM

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Jesper Martinsson; [2022]
    Nyckelord :SLAM; Monocular SLAM; OpenCV; SIFT; CUDASIFT; Ceres Solver; Data set; C ;

    Sammanfattning : This thesis report aims to explain the research, implementation, and testing of a monocular SLAM system in an application developed by Voysys AB called Oden, as well as the making and investigation of a new data set used to test the SLAM system. Using CUDASIFT to find and match feature points, OpenCV to compute the initial guess, and the Ceres Solver to optimize the results. LÄS MER

  4. 3. Tracking motion in mineshafts : Using monocular visual odometry

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Karl Suikki; [2022]
    Nyckelord :Monocular Visual Odometry; Tracking; ORB; SIFT;

    Sammanfattning : LKAB has a mineshaft trolley used for scanning mineshafts. It is suspended down into a mineshaft by wire, scanning the mineshaft on both descent and ascent using two LiDAR (Light Detection And Ranging) sensors and an IMU (Internal Measurement Unit) used for tracking the position. LÄS MER

  5. 4. Local Feature Correspondence on Side-Scan Sonar Seafloor Images

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

    Författare :Li Ling; [2021]
    Nyckelord :;

    Sammanfattning : In underwater environments, the perception and navigation systems are heavily dependent on the acoustic wave based sonar technology. Side-scan sonar (SSS) provides high-resolution, photo-realistic images of the seafloor at a relatively cheap price. LÄS MER

  7. 5. Automatic Change Detection in Visual Scenes

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

    Författare :Morgan Brolin; [2021]
    Nyckelord :Master thesis. Image retrieval; Image registration; Image change detection; Panorama creation; CNN; VGG16; Computer vision; Machine learning; Ensemble learning.; Master examensarbete; Image retrieval; Image registration; Image change detection; Panorama creation; CNN; VGG16; Computer vision; Machine learning; Ensemble learning.;

    Sammanfattning : This thesis proposes a Visual Scene Change Detector(VSCD) system which is a system which involves four parts, image retrieval, image registration, image change detection and panorama creation. Two prestudies are conducted in order to find a proposed image registration method and a image retrieval method. LÄS MER