Browsing by Author "Bergamasco, Filippo"

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Browsing by Author "Bergamasco, Filippo"

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  • Accurate wave buoy tracking via stereo cameras 
    Karim, Murtaza <1991> (Università Ca' Foscari Venezia, 2022-06-08)
    The core focus of the thesis is making a course estimation of a wave buoy using two cameras. The method is based on an initial coarse tracking done individually on each camera using a Kernelized Correlation Filter, followed ...
  • A new capturing method for the Reflectance Transformation Imaging 
    Arapi, Andi <1994> (Università Ca' Foscari Venezia, 2021-04-27)
    RTI is a computational photographic method that captures a subject’s surface shape and color and enables the interactive re-lighting of the subject from any direction. In the standard approach, the RTI images are created ...
  • An Implicit Neural Representation for Reflectance Transformation Imaging (RTI) 
    Baccega, Sandro <1997> (Università Ca' Foscari Venezia, 2024-03-27)
    Reflectance Transformation Imaging (RTI) is a widely used method for obtaining detailed per-pixel reflectance data by photographing an object under varying lighting conditions. The gathered information can then be utilized ...
  • Application of different types of Kalman Filter to approximate state of an UAV Model 
    Carraro, Alberto <1995> (Università Ca' Foscari Venezia, 2022-03-25)
    The invention of Kalman filter brings to the engineer world an important solution on the noise management, and more in general, the possibility of smoothing perturbed data collected from a sensor. So far, studies and ...
  • A quantitative evaluation of the QR code detection and decoding performance in the zxing library 
    Barzazzi, Daniele <1996> (Università Ca' Foscari Venezia, 2023-03-20)
    In the year of the global pandemic there was an increment of the usage of QR code due to the development of the EU Digital COVID Certificate, among others type of certificate of other countries. This lead us to the problem ...
  • CNN based methods: Literature review Depth completion and Sparse data 
    Parveen, Zahida <1994> (Università Ca' Foscari Venezia, 2022-10-20)
    In last decade, With the rise of neural networks Depth completion has become extensive attention recently due to the development of autonomous driving, which aims to recover dense depth points from sparse depth measurements. ...
  • Comparative analysis of surface reconstruction from gradient data 
    Sejdi, Elsa <1997> (Università Ca' Foscari Venezia, 2023-10-17)
    Gradient-based surface reconstruction has emerged as a research field in computer vision, finding applications across various domains. This thesis aims to delve into the current state-of-the-art techniques utilized in ...
  • Exploring audio compression in time-frequency domain with sparse CNNs 
    Scodeller, Giovanni <1997> (Università Ca' Foscari Venezia, 2023-03-20)
    Audio data compression and decompression is usually implemented via software codecs which are handmade crafted, often exploiting spectral properties of the signal. In this thesis we propose to tackle such problem as a ...
  • H.I.P.T - Human Identification and Protection Technology 
    Ivanoiu, Alexandru Paul <1997> (Università Ca' Foscari Venezia, 2022-07-12)
    The project H.I.P.T it is a project build to protect and keep save all the people on the planet and at the same time reduce pollution. The project idea is based on creating a software or better a web application that allows ...
  • Implicit Neural Representation of volumes for high-resolution space carving 
    Murador, Marco <1996> (Università Ca' Foscari Venezia, 2023-10-17)
    Implicit Neural Representation of points has become an increasingly popular method for representing 3D objects in a continuous function that maps any point in 3D space to a feature vector. However, the representation has ...
  • Mixing classical and learning-based methods for depth completion 
    Mengistu, Shambel Fente <1991> (Università Ca' Foscari Venezia, 2022-03-25)
    Depth completion aims to recover a dense depth map given sparse depth samples and optional additional data as input. While some methods take only sparse data as input, others consider the corresponding RGB image as guidance ...
  • Reflectance Transformation Imaging: A novel approach with ordinary smartphones 
    Marostica, Riccardo <1999> (Università Ca' Foscari Venezia, 2023-10-17)
    Reflectance Transformation Imaging (RTI) is a technique that retrieves an object's per-pixel reflectance behavior, capturing different images of the object illuminated by different known, or knowable, light directions. The ...
  • State-of-the-art evaluation of 'Shape from Polarisation' methods 
    Gurakuqi, Jurgen <1996> (Università Ca' Foscari Venezia, 2023-10-17)
    Advancements in the fields of Computer Vision and Artificial Intelligence have resulted in the emergence of innovative techniques for the extraction of three-dimensional shape information. One such technique is Shape from ...