Sökning: "Convolution Filters"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Convolution Filters.

  1. 1. Effects of visualization using different convolution kernels in Julia

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

    Författare :Nils Forsberg; Axel Nilsson; [2023]
    Nyckelord :Convolution; Julia; visualization; streamlines; vorticity; interpolation; filter;

    Sammanfattning : Many real-world engineering problems require large amounts of data in order to accurately model and predict outcomes. However, this data is often noisy, sampled and discontinuous, making the data difficult to process and giving rise to incorrect models. LÄS MER

  3. 2. Designing Effective Derivative Line Filters: Utilizing convolution to extract extra information

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Gustaf Lorentzon; [2023]
    Nyckelord :Computational Fluid Dynamics; Convolution Filters; Convolution Kernels; Derivatives; Extracting Extra Accuracy; Filtration; Post-processing; Smoothness-Increasing Accuracy-Conserving; Signal-processing; Visualization; Vorticity; Beräkningsbaserad Strömningsdynamik; Faltningsfilter; Faltningskärnor; Derivator; Extrahering av Extra Noggrannhet; Filtrering; Efterbehandling; Kontinuitetsökande; Noggrannhetsbevarande; Signalbehandling; Visualisering; Vorticitet;

    Sammanfattning : The ability to generate accurate approximations of derivatives holds significant importance in numerous scientific fields, including chemistry, economics and fluid mechanics. This thesis is centred around extracting hidden information in data using Smoothness-Increasing Accuracy-Conserving (SIAC) filters. LÄS MER

  4. 3. LiDAR Point Cloud De-noising for Adverse Weather

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Johan Bergius; Jesper Holmblad; [2022]
    Nyckelord :Semantic Segmentation; Lidar point cloud; CNN; GAN; CycleGAN; Unsupervised; LiOR; DSOR; DROR; WADS;

    Sammanfattning : Light Detection And Ranging (LiDAR) is a hot topic today primarily because of its vast importance within autonomous vehicles. LiDAR sensors are capable of capturing and identifying objects in the 3D environment. However, a drawback of LiDAR is that they perform poorly under adverse weather conditions. LÄS MER

  5. 4. Tracking Under Countermeasures Using Infrared Imagery

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Sara Modorato; [2022]
    Nyckelord :computer vision; infrared imagery; tracking; countermeasures; discriminative correlation filters; Efficient Convolution Operator tracker; Spatial-Temporal Regularized Correlation Filter tracker; Visual Object Tracking; flare; DIRCM; multiple wavelength bands; features;

    Sammanfattning : Object tracking can be done in numerous ways, where the goal is to track a target through all frames in a sequence. The ground truth bounding box is used to initialize the object tracking algorithm. Object tracking can be carried out on infrared imagery suitable for military applications to execute tracking even without illumination. LÄS MER

  7. 5. Incorporating Scene Depth in Discriminative Correlation Filters for Visual Tracking

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :John Stynsberg; [2018]
    Nyckelord :Tracking; Visual; Deep; Learning; Machine; Learning; CNN; Convolutional; Neural; Network; Unsupervised; Learning; Clustering; Genetic Algorithms; Features; Visual featues; Channel; Coding; RGBD; Scene; Depth; Map; Kinect; Discriminative; Correlation; Filters; SRDCF; DCF; Spatial; Spatially; Regularized; Hyperparameter; Search; Occlusion; Detection; Handling; Kalman; Filters; Normalized; Convolution; Bayesian; Gaussian; Mixture; Scale; Estimation; Conjugate; Gradient; Linkoping; Sweden; Visuell; Följning; Särdrag; Djupa; Faltningsnätverk; Maskininlärning; Djup; Inlärning; Genetiska; Algoritmer; Klustring; Djup; RGBD; Linköping; Sverige;

    Sammanfattning : Visual tracking is a computer vision problem where the task is to follow a targetthrough a video sequence. Tracking has many important real-world applications in several fields such as autonomous vehicles and robot-vision. LÄS MER