Sökning: "camera calibration"

Visar resultat 11 - 15 av 58 avhandlingar innehållade orden camera calibration.

  1. 11. Pinhole Camera Calibration in the Presence of Human Noise

    Författare :Magnus Axholt; Matthew Cooper; Anders Ynnerman; J. Edward Swan II; Linköpings universitet; []
    Nyckelord :;

    Sammanfattning : The research work presented in this thesis is concerned with the analysis of the human body as a calibration platform for estimation of a pinhole camera model used in Augmented Reality environments mediated through Optical See-Through Head-Mounted Display. Since the quality of the calibration ultimately depends on a subject’s ability to construct visual alignments, the research effort is initially centered around user studies investigating human-induced noise, such as postural sway and head aiming precision. LÄS MER

  3. 12. Visual Inertial Navigation and Calibration

    Författare :Martin A. Skoglund; Fredrik Gustafsson; Thomas Schön; Henk Luinge; Linköpings universitet; []
    Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : Processing and interpretation of visual content is essential to many systems and applications. This requires knowledge of how the content is sensed and also what is sensed. Such knowledge is captured in models which, depending on the application, can be very advanced or simple. LÄS MER

  4. 13. Selected Topics in Inertial and Visual Sensor Fusion : Calibration, Observability Analysis and Applications

    Författare :Ghazaleh Panahandeh; Magnus Jansson; Jorge Manuel Miranda Dias; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Recent improvements in the development of inertial and visual sensors allow building small, lightweight, and cheap motion capture systems, which are becoming a standard feature of smartphones and personal digital assistants. This dissertation describes developments of new motion sensing strategies using the inertial and inertial-visual sensors. LÄS MER

  5. 14. Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach

    Författare :Martin Ahrnbom; Mathematical Imaging Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep learning; Machine learning; Traffic Surveillance; Traffic Safety; Object detection; Camera Calibration; Multi-Target Tracking; Convolutional Neural Networks; Smart cities;

    Sammanfattning : Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. LÄS MER

  7. 15. Towards Reliable and Accurate Global Structure-from-Motion

    Författare :José Pedro Lopes Iglesias; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; bundle adjustment; point set registration; camera calibration; global SfM; Structure-from-Motion; radial distortion; 3D reconstruction; non-rigid SfM; pOSE; matrix factorization;

    Sammanfattning : Reconstruction of objects or scenes from sparse point detections across multiple views is one of the most tackled problems in computer vision. Given the coordinates of 2D points tracked in multiple images, the problem consists of estimating the corresponding 3D points and cameras' calibrations (intrinsic and pose), and can be solved by minimizing reprojection errors using bundle adjustment. LÄS MER