Sökning: "Computer vision"

Visar resultat 1 - 5 av 372 uppsatser innehållade orden Computer vision.

  1. 1. Active Stereo Reconstruction using Deep Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Helena Kihlström; [2019]
    Nyckelord :Computer Vision; Deep Learning; Stereo Reconstruction;

    Sammanfattning : Depth estimation using stereo images is an important task in many computer vision applications. A stereo camera contains two image sensors that observe the scene from slightly different viewpoints, making it possible to find the depth of the scene. An active stereo camera also uses a laser projector that projects a pattern into the scene. LÄS MER

  2. 2. Developing vision substitution products using computer vision

    Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologi

    Författare :Björn Gummesson; [2019]
    Nyckelord :product development; user centered design; interaction design; rehabilitation engineering; Technology and Engineering;

    Sammanfattning : The purpose of this thesis is two-fold. The first is to investigate if cutting edge technology can be used to enhance the life for people with visual impairments. The second is to provide a simple example of how the design process can look from the beginning to a finished Hi-Fi prototype. LÄS MER

  3. 3. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps

    Master-uppsats, Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Författare :Daniel Cranston; Filip Skarfelt; [2019]
    Nyckelord :Disparity Map; Disparity Refinement; Dataset Generation; Neural Network; Normalized Convolution;

    Sammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER

  4. 4. Detection of Archaeological Sites from Aerial Imagery using Deep Learning

    Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik

    Författare :Jorge Lazo; [2019]
    Nyckelord :Deep Learning; Archaeology; Computer Vision; Aerial Imagery; Transfer Learning.; Physics and Astronomy;

    Sammanfattning : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. LÄS MER

  5. 5. Implementing gaze tracking with a simple web camera

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

    Författare :Martin Falke; Lucas Höglund; [2019]
    Nyckelord :computer vision; gaze tracking; web camera; desktop environment; datorseende; blickspårning; webbkamera; skrivbordsmiljö;

    Sammanfattning : Gaze tracking is a field within computer vision that has a large number of possible areas of application. However, much of the software available for gaze tracking is locked to licenses and/or certain equipment that can be expensive, hard to get a hold of, intrusive for the user, or simply impractical. LÄS MER