This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods struggle ...
One of the major bottlenecks in high-resolution Earth Observation (EO) space systems is the downlink between the satellite and the ground. Due to hardware limitations, onboard power limitations or ground-station operation costs, there is a strong need to reduce the amount of data transmitted. Various processing methods can be used to compress the d...
This dissertation addresses the need for digitizing cultural heritage using Building Information Modeling (BIM) and Heritage Building Information Modeling (H-BIM) as a powerful tool for conservation and preservation. It focuses on the Scan-to-BIM process, which faces challenges in handling large-scale data from modern acquisition technologies like ...
Published in Current Directions in Biomedical Engineering
We introduce a lightweight framework for semantic segmentation that utilizes structured classifiers as an alternative to deep learning methods. Biomedical data is known for being scarce and difficult to label. However, this framework provides a lightweight, easy-to-apply, and fast-to-train approach that can be adapted to changes in image material t...
L'abstract è presente nell'allegato / the abstract is in the attachment
Les technologies d’acquisition à distance sont de plus en plus disponibles et performantes. Leur déploiement comme technologie de mesure sans contact est plus fréquent et les possibilités d’utilisation ne font qu’augmenter. Ces technologies, couplées à la puissance de calcul des ordinateurs, rendent possibles l’acquisition et le traitement d’un gra...
L'abstract è presente nell'allegato / the abstract is in the attachment
The objective of this thesis is to develop a digital decision support tool that can assist clinicians in choosing the curative treatment for liver cancer with the best chance of success based on artificial intelligence.Liver cancers are notable contributors to the global burden of cancer lethality, ranking second in the most common causes of cancer...
Published in Journal of Physics: Conference Series
Steel is the most basic raw material in China’s industrial production, which plays a great role in promoting China’s industrialization process. Therefore, it is of great significance to detect defective steel and the surface quality of steel. In order to further improve the detection accuracy of steel surface defects, this paper proposes a steel su...
