Essays about: "feature based registration"

Showing result 1 - 5 of 20 essays containing the words feature based registration.

1. 1. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Ludvig Dillén; [2023]
   Keywords : point cloud alignment; point cloud alignment classification; alignment validation; point cloud; map validation; map quality; misalignment recognition; alignment quality; point transformer; Sinkhorn divergence; differential entropy; point cloud co-visibility; point cloud visibility; SLAM; point cloud registration; point cloud density;

   Abstract : 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. READ MORE

3. 2. Investigation of Registration Methods for High Resolution SAR-EO Imagery

   University essay from Linköpings universitet/Datorseende

   Author : Niclas Hansson; [2022]
   Keywords : SAR; FFT; MI; Image Registration;

   Abstract : 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. READ MORE

4. 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

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Omkar Bhutra; [2021]
   Keywords : Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

   Abstract : 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. READ MORE

5. 4. Robust Registration of ToF and RGB-D Camera Point Clouds

   University essay from KTH/Fastigheter och byggande

   Author : Shuo Chen; [2021]
   Keywords : Robustness; Estimator; Feature extraction; RANSAC; BLAVE; M-estimator; ToF; RGB-D; Robusthet; Uppskattare; Särdragsextraktion; RANSAC; BLAVE; M-uppskattare; ToF; RGB-D;

   Abstract : 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. READ MORE

6. 5. Automatic Alignment Detection and Correction in Infrared and Visual Image Pairs

   University essay from Linköpings universitet/Datorseende

   Author : Ida Bjerwe; [2020]
   Keywords : ;

   Abstract : 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. READ MORE