Sökning: "point set registration"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden point set registration.
1. Learning Representations for Segmentation and Registration
Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER
2. Local visual feature based localisation and mapping by mobile robots
Sammanfattning : This thesis addresses the problems of registration, localisation and simultaneous localisation and mapping (SLAM), relying particularly on local visual features extracted from camera images. These fundamental problems in mobile robot navigation are tightly coupled. LÄS MER
3. Towards Reliable and Accurate Global Structure-from-Motion
Sammanfattning : Reconstruction of objects or scenes from sparse point detections across multiple views is one of the most tackled problems in computer vision. Given the coordinates of 2D points tracked in multiple images, the problem consists of estimating the corresponding 3D points and cameras' calibrations (intrinsic and pose), and can be solved by minimizing reprojection errors using bundle adjustment. LÄS MER
4. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement
Sammanfattning : Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. LÄS MER
5. Distance Functions and Their Use in Adaptive Mathematical Morphology
Sammanfattning : One of the main problems in image analysis is a comparison of different shapes in images. It is often desirable to determine the extent to which one shape differs from another. This is usually a difficult task because shapes vary in size, length, contrast, texture, orientation, etc. Shapes can be described using sets of points, crisp of fuzzy. LÄS MER