Sökning: "Depth estimation"

Visar resultat 1 - 5 av 152 uppsatser innehållade orden Depth estimation.

  1. 1. MODELLING THE SMOLT PRODUCTIVITY OF BROWN TROUT (SALMO TRUTTA) IN HAGA Å

    Kandidat-uppsats, Göteborgs universitet / Instiutionen för biologi och miljövetenskap

    Författare :Lukas Almgren; [2023-10-30]
    Nyckelord :Brown trout; Salmo trutta; Trout habitat score; THS; Haga å; electro-fishing survey;

    Sammanfattning : The brown trout (Salmo trutta) is a facultatively anadromous species, some individuals migrate from the rearing environment in the rivers to the sea while other individuals stay in fresh water. To determine the suitability of a stream for juvenile trout the organization SGBALANST has developed what is called the "Trout habitat score" (THS) model. LÄS MER

  3. 2. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER

  4. 3. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Daniel Bladh; [2023]
    Nyckelord :Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Sammanfattning : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. LÄS MER

  5. 4. Evaluation of the ERA5-Land dataset for estimation of soil moisture in the permafrost region

    Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Alberta van Gent; [2023]
    Nyckelord :Soil moisture; ERA5-Land; International Soil Moisture Network ISMN ; permafrost region;

    Sammanfattning : The permafrost region covers a vast area of land surface on the northern hemisphere,storing large amounts of carbon. Unfortunately, climate warming leads to permafrostthaw altering the hydrothermal state of permafrost soils. Due to the remoteness of thepermafrost region, access to field measurements is restricted. LÄS MER

  7. 5. Real- and Quasi-Atomic Layer Etching for Ultra-High Resolution Patterning

    Master-uppsats, Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

    Författare :Yoana Ilarionova; [2023]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : An attempt was made at developing atomic layer etching from a cyclic etching process in an ICP-RIE tool. During the process OES was used for contamination monitoring and estimation of the relative amount of Cl2 left in the chamber during the etch step of cyclic etching processes. LÄS MER