Essays about: "3D-Reconstruction"
Showing result 1 - 5 of 78 essays containing the word 3D-Reconstruction.
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1. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
University essay from Linköpings universitet/DatorseendeAbstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE
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2. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
University essay from Lunds universitet/Matematik LTHAbstract : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. READ MORE
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3. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction
University essay from Lunds universitet/Matematik LTHAbstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE
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4. 3D-Reconstruction of the Common Murre
University essay from Linköpings universitet/DatorseendeAbstract : Automatic 3D reconstruction of birds can aid researchers in studying their behavior. Recently there has been an attempt to reconstruct a variety of birds from single-view images. However, the common murre's appearance is different from the birds that have been studied. Moreover, recent studies have focused on side views. READ MORE
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5. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
University essay from KTH/Matematisk statistikAbstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE