Sökning: "3D image processing"
Visar resultat 21 - 25 av 109 uppsatser innehållade orden 3D image processing.
21. Approaching Ground-Truth EntrancePupil Position For Mixed Reality Applications And The Possibilities Of Using Computer Vision To This End
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Given the requirement to increase the accuracy of eye tracking for mixed reality applications, it was necessary to develop a technology that could more accurately approach the ground-truth position of a human entrance-pupil. The goal was to use Computer Vision, in the forms of pairs of stereo-images of the eyes, to estimate said position of the entrance-pupil. LÄS MER
22. 2D Reflection Seismic Imaging of Sparse 3D Data in the Zinkgruvan Mine, Central Sweden
Master-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : Zinkgruvan mining area in the southern Bergslagen mineral district of central Sweden holds over 30 million tons of massive sulphide mineralization. The ever-increasing global demand for mineral/metal resources, together with metal consumption growth especially for high-tech purposes has made the exploration of these resources of particular importance. LÄS MER
23. Server-side image processing in native code compared to client- side image processing in WebAssembly
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, companies are developing processor demanding applications on the web, for example, 3D visualization software and video and audio software. Some of these companies have a native desktop application written in for example C++. LÄS MER
24. 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
25. Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. LÄS MER