Thesis

DOCTORAL THESIS: Motion Annotation in complex video datasets

By Mahmood Muhammad Habib Supervised by Dr. Arnau Oliver Malagelada Abstract An in-depth analysis of computer vision methodologies is greatly dependent on the benchmarks they are tested upon. Any dataset is as good as the diversity of the true nature of the problem enclosed in it. Motion segmentation is a preprocessing step in computer vision whose publicly available datasets have certain limitations. Some databases are not up-to-date with modern requirements of frame length and number of motions, and others do not have ample ground-truth in them. In this paper, we present a collection of diverse multifaceted motion segmentation benchmarks containing...

DOCTORAL THESIS: Online Acoustic Localization Methods for Autonomous Underwater Vehicles

By Guillem Vallicrosa Massaguer Supervised by Dr. Pere Ridao Abstract Autonomous Underwater Vehicles (AUVs) true autonomy capabilities in complex poten-tially unknown environments, have not yet been fully achieved because of the lack of online algorithms that can solve fundamental problems such as localization, mapping and path-planning on-board the AUV and consequently react according to their outputs. These algorithms can empower them for new capabilities such as long-term deployments, au-tonomous exploration and autonomous intervention.   This thesis presents the development of two online localization algorithms for AUVs. The first algorithm is based on a Sum of Gaussian (SOG) filter for online...

DOCTORAL THESIS: Underwater Navigation and Mapping with an Omnidirectional Optical Sensor

Underwater Navigation and Mapping with an Omnidirectional Optical Sensor By Josep Bosch Alay Supervised by Dr. Nuno Gràcias / Dr. Pere Ridao Abstract Omnidirectional vision has received increasing interest during the last decade from the computer vision community. A large number of camera models have reached the market to meet the increasing demand for panoramic imagery. However, the use of omnidirectional cameras underwater is still very limited. In this thesis we propose a number of methods to create a reference resource for designing, calibrating and using underwater omnidirectional multi-camera systems.     The first problem we address is the design...

DOCTORAL THESIS: Glandular Tissue Pattern Analysis Through Multimodal MRI-Mammography Registration

Glandular Tissue Pattern Analysis Through Multimodal MRI-Mammography Registration By Eloy García Marcos Supervised by Dr. Joan Martí Bonmatí / Dr. Arnau Oliver Malagelada Abstract Breast cancer is the most common cancer in women worldwide. Current statistics show that one in eight women will develop this disease over the course of her lifetime. While X-ray mammography is the gold standard image modality for screening and diagnosis of breast cancer, it presents decreased sensitivity in dense breasts. Several studies have shown that the combination of the different medical image modalities, such as mammography and magnetic resonance imaging (MRI), leads to a more...

Online Path Planning for Autonomous Underwater Vehicles under Motion Constraints

Doctoral thesis “Online Path Planning for Autonomous Underwater Vehicles under Motion Constraints” By Juan David Hernández Vega Supervised by Dr. Marc Carreras   Abstract Thesis submitted to the University of Girona in fulfillment of the requirements for the degree of Doctor of PhilosophySince their beginning in the late 1950s, the capabilities and applications of autonomous underwater vehicles (AUVs) have continuously evolved. Their most common applications include imaging and inspecting different kinds of structures on the sea floor as well as collecting oceanographic informa-tion: biological, chemical, and even archaeological data.   Most of these applications require a priori information of the…

Robot Learning applied to Autonomous Underwater Vehicles for intervention tasks

Doctoral thesis “Robot Learning applied to Autonomous Underwater Vehicles for intervention tasks” By Arnau Carrera Viñas Supervised by Marc Carreras, Narcís Palomeras and Petar Kormushev   Abstract The interest in performing underwater tasks using AUVs has been growing over the past few decades. The initial focus was on the exploration of underwater areas, performing survey trajectories harvesting data to build bathymetric maps or photo-mosaics. Later the focus of research switched to performing inspections of underwater structures or elements (e.g., pipelines) which required more complex behaviours and localization methods. Advances in these fields have awakened the interest of the community in…

Case-level detection of mammographic masses

Doctoral thesis “Case-level detection of mammographic masses” By Meritxell Tortajada Giménez Supervised by Jordi Freixenet and Robert Martí   Abstract This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed to improve image quality before working on the proper detection framework. A novel enhancement method is applied to compensate the thickness reduction in peripheral edges of the breast in FFDM. Following, B-Splines image registration with Affine initialisation is used to obtain bilateral and temporal information that is incorporated…

Tools for 3D Point Cloud Registration

Doctoral thesis “Tools for 3D Point Cloud Registration”   By Ferran Roure García Supervised by Dr. Joaquim Salvi Mas and Dr. Yago Diez Donoso   Abstract The interest of digitization of the real world has been growing over the years. Computers help us to make it possible and research in this field has intensified with the emergence of new technologies in the commercial world. Representing our environment in formats that computers can understand is an essential step in the development of this technology. One way to capture our world is using sensors that digitize the objects around us using mathematical…