Sökning: "feature based registration"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden feature based registration.
1. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : As the demand for 3D maps from LIDAR scanners increases, delivering high-quality maps becomes critical. One way to ensure the quality of such maps is through point cloud alignment classification, which aims to classify the alignment error between two registered point clouds. LÄS MER
2. Investigation of Registration Methods for High Resolution SAR-EO Imagery
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : With advancements in space technology, remote sensing applications, and computer vision, significant improvements in the data describing our planet are seen today. Researchers want to gather different kinds of data and perform data fusion techniques between them to increase our understanding of the world. LÄS MER
3. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. LÄS MER
4. Robust Registration of ToF and RGB-D Camera Point Clouds
Master-uppsats, KTH/Fastigheter och byggandeSammanfattning : This thesis presents a comparison of M-estimator, BLAVE, and RANSAC method in point clouds registration. The comparison is performed empirically by applying all the estimators on a simulated data added with noise plus gross errors, ToF data and RGB-D data. The RANSAC method is the fastest and most robust estimator from the comparison. LÄS MER
5. Automatic Alignment Detection and Correction in Infrared and Visual Image Pairs
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Previously well aligned image sensors, mounted on the same camera, might become misaligned depending on external vibrations. It is of interest to be able to automatically detect and correct for this misalignment, and to separate the deviation into pointing- and/or parallax errors. LÄS MER