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Visar resultat 1 - 5 av 6 avhandlingar som matchar ovanstående sökkriterier.
1. Higher-Order Regularization in Computer Vision
Sammanfattning : At the core of many computer vision models lies the minimization of an objective function consisting of a sum of functions with few arguments. The order of the objective function is defined as the highest number of arguments of any summand. LÄS MER
2. Segmentation of forest patches and estimation of canopy cover using 3D information from stereo photogrammetry
Sammanfattning : 3D information extracted by image matching of aerial images, so called image-based point clouds, have been found to provide accurate vegetation height measurements. This has led to an increased interest from the vegetation mapping community, since aerial images are an affordable alternative to airborne laser scanner (ALS) data. LÄS MER
3. Optimization Methods for 3D Reconstruction : Depth Sensors, Distance Functions and Low-Rank Models
Sammanfattning : This thesis explores methods for estimating 3D models using depth sensors andfinding low-rank approximations of matrices. In the first part we focus on how toestimate the movement of a depth camera and creating a 3D model of the scene. LÄS MER
4. Deep Learning Assisted Visual Odometry
Sammanfattning : The capabilities to autonomously explore and interact with the environmenthas always been a greatly demanded capability for robots. Varioussensor based SLAM methods were investigated and served for this purposein the past decades. LÄS MER
5. Range Camera Imaging : From Human Body Measurements to Very Large 3D Points Scenes Visualization
Sammanfattning : The use of camera range imaging for the purpose of 3-dimensional representation and non-contact measures is widely used in industry, medicine, computer-aided design and other areas. Different range imaging methods can be applied, such as stereo, laser sheet of light, and structured light. LÄS MER