Avancerad sökning

Hittade 4 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Automatic Dense Reconstruction from Uncalibrated Video Sequences

   Författare :David Nister; KTH; []
   Nyckelord :Structure from Motion; Calibration; Match Moving; Reconstruction; Video; Computer Vision; Auto-calibration; Augmented Reality; Virtual Reality; Image-based Rendering; Visualisation; Camera Calibration; Motion Estimation;

   Sammanfattning : This thesis describes a system that completely automaticallybuilds a three-dimensional model of a scene given a sequence ofimages of the scene. The system also estimates the internalparameters of the camera and the poses from where the originalimages were taken. LÄS MER

3. 2. Geometry and Critical Configurations of Multiple Views

   Författare :Fredrik Kahl; Matematik LTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; algebra; algebraic geometry; field theory; Number Theory; Matematik; Mathematics; reconstruction; image sequence; absolute conic; critical motions; critical surfaces; perspective projection; affine geometry; Euclidean geometry; multiple view geometry; projective geometry; group theory; Talteori; fältteori; algebraisk geometri; gruppteori; Mathematical logic; set theory; combinatories; Matematisk logik; mängdlära; kombinatorik;

   Sammanfattning : This thesis is concerned with one of the core problems in computer vision, namely to reconstruct a real world scene from several images of it. The interplay between the geometry of the scene, the cameras and the images is analyzed. LÄS MER

4. 3. Deep neural networks for electromagnetics applied to optimization and inverse problems

   Författare :Simon Stenmark; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; calibration; optimization; Inverse problems; normalization; deep learning; neural networks;

   Sammanfattning : This thesis explores the possibilities to complement full-wave electromagnetic solvers with fully-connected neural networks. We emphasize problems that must be solved a very large number of times in a limited parameter domain. We present and evaluate the normalization method ForwardNorm. LÄS MER

5. 4. Robust Estimation of Motion Parameters and Scene Geometry : Minimal Solvers and Convexification of Regularisers for Low-Rank Approximation

   Författare :Marcus Valtonen Örnhag; Matematik LTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; Visual Odometry; Simultaneous Localization and Mapping; minimal solvers; Convex relaxations; Structure from motion;

   Sammanfattning : In the dawning age of autonomous driving, accurate and robust tracking of vehicles is a quintessential part. This is inextricably linked with the problem of Simultaneous Localisation and Mapping (SLAM), in which one tries to determine the position of a vehicle relative to its surroundings without prior knowledge of them. LÄS MER