Sökning: "Multi- View Stereo"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden Multi- View Stereo.
1. Structure from Motion with Unstructured RGBD Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis covers the topic of depth- assisted Structure from Motion (SfM). When performing classic SfM, the goal is to reconstruct a 3D scene using only a set of unstructured RGB images. LÄS MER
2. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktionSammanfattning : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. LÄS MER
3. 3D Reconstruction from Satellite Imagery Using Deep Learning
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Learning-based multi-view stereo (MVS) has shown promising results in the domain of general 3D reconstruction. However, no work before this thesis has applied learning-based MVS to urban 3D reconstruction from satellite images. In this thesis, learning-based MVS is used to infer depth maps from satellite images. LÄS MER
4. Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolanSammanfattning : Image-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of scenes. LÄS MER
5. Correspondence-based pairwise depth estimation with parallel acceleration
Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologiSammanfattning : This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. LÄS MER