Sökning: "BRISK"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet BRISK.

  1. 1. Movement Estimation with SLAM through Multimodal Sensor Fusion

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

    Författare :Jimmy Cedervall Lamin; [2024]
    Nyckelord :slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

    Sammanfattning : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. LÄS MER

  3. 2. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

    Kandidat-uppsats,

    Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
    Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

    Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

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

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :David Kaméus; Daniel Ericsson; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 4. Stereo Camera Pose Estimation to Enable Loop Detection

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Viktor Ringdahl; [2019]
    Nyckelord :loop detection; pose estimation; descriptors; visual odometry; slam;

    Sammanfattning : Visual Simultaneous Localization And Mapping (SLAM) allows for three dimensionalreconstruction from a camera’s output and simultaneous positioning of the camera withinthe reconstruction. With use cases ranging from autonomous vehicles to augmentedreality, the SLAM field has garnered interest both commercially and academically. LÄS MER

  7. 5. Automatic Matching of Multimodular Images in Live Golf Environments : An Evaluation of Methods to Estimate a Homography Between Multimodular Images

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Ludvig Jansson; [2016]
    Nyckelord :image matching automatic golf detector descriptor computer vision homography;

    Sammanfattning : This degree project evaluates combinations of well-known state-of-the-art keypoint detectors and descriptors, as well as keypoint matching and robust outlier rejection methods for the purpose of estimating a homography between images produced by two fundamentally different cameras. The evaluation is perfomed on both computational efficiency and matching accuracy of each combination after a series of image deformations have been applied. LÄS MER