no code implementations • 1 Mar 2024 • Yohann Perron, Eric Bezzam, Martin Vetterli
In this paper, we present a modular approach for reconstructing lensless measurements.
1 code implementation • 23 Nov 2022 • Eric Bezzam, Martin Vetterli, Matthieu Simeoni
In this work, we enhance the privacy provided by lensless imaging by (1) downsampling at the sensor and (2) using a programmable mask with variable patterns as our optical encoder.
no code implementations • 13 Jul 2022 • Gilles Baechler, Michalina Pacholska, Arnaud Latty, Adam Scholefield, Martin Vetterli
Lippmann photography provides a great opportunity to demonstrate several fundamental concepts in signal processing.
no code implementations • 9 Jun 2022 • Karen Adam, Adam Scholefield, Martin Vetterli
Instead of recording video by capturing frames, event-based cameras have sensors that emit events when their inputs change, thus encoding information in the timing of events.
1 code implementation • 3 Jun 2022 • Eric Bezzam, Sepand Kashani, Martin Vetterli, Matthieu Simeoni
Lensless imaging seeks to replace/remove the lens in a conventional imaging system.
no code implementations • 3 Jun 2022 • Eric Bezzam, Martin Vetterli, Matthieu Simeoni
In this work, we exploit this unique multiplexing property: casting the optics as an encoder that produces learned embeddings directly at the camera sensor.
no code implementations • 29 Apr 2021 • Karen Adam, Adam Scholefield, Martin Vetterli
Event-based sensing can present significant improvements in power efficiency when compared to traditional sampling, because (1) the output is a stream of events where the important information lies in the timing of the events, and (2) the sensor can easily be controlled to output information only when interesting activity occurs at the input.
no code implementations • 11 Jun 2020 • Matthieu Simeoni, Adrien Besson, Paul Hurley, Martin Vetterli
Since the proximal step does not admit a simple closed-form expression, we propose an inexact PGD method, coined as Cadzow plug-and-play gradient descent (CPGD).
Optimization and Control
2 code implementations • NeurIPS 2019 • Matthieu Simeoni, Sepand Kashani, Paul Hurley, Martin Vetterli
We propose a recurrent neural-network for real-time reconstruction of acoustic camera spherical maps.
1 code implementation • 21 Oct 2019 • Karen Adam, Adam Scholefield, Martin Vetterli
We propose a setup to sample a set of bandlimited signals, by mixing them and sampling the result using different IF-TEMs.
Signal Processing
2 code implementations • 12 Jul 2019 • Karen Adam, Adam Scholefield, Martin Vetterli
In this paper, we show that, when using time encoding machines, reconstruction from multiple channels has a more intuitive solution, and does not require the knowledge of the shifts between machines.
Signal Processing
no code implementations • 27 Apr 2018 • Adam Scholefield, Alireza Ghasemi, Martin Vetterli
We study the accuracy of triangulation in multi-camera systems with respect to the number of cameras.
no code implementations • 24 Feb 2016 • Alireza Ghasemi, Adam Scholefield, Martin Vetterli
Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems.
no code implementations • 24 Feb 2016 • Alireza Ghasemi, Adam Scholefield, Martin Vetterli
We propose a novel camera pose estimation or perspective-n-point (PnP) algorithm, based on the idea of consistency regions and half-space intersections.
no code implementations • 9 Dec 2015 • Farid M. Naini, Jayakrishnan Unnikrishnan, Patrick Thiran, Martin Vetterli
The accuracy obtained under this optimal method can thus be used to quantify the maximum level of user identification that is possible in such settings.
1 code implementation • 26 Feb 2015 • Ivan Dokmanic, Reza Parhizkar, Juri Ranieri, Martin Vetterli
Euclidean distance matrices (EDM) are matrices of squared distances between points.
Other Computer Science
no code implementations • 17 Dec 2013 • Nikolaos M. Freris, Orhan Öçal, Martin Vetterli
We introduce a recursive algorithm for performing compressed sensing on streaming data.
no code implementations • 7 Oct 2013 • Robin Scheibler, Saeid Haghighatshoar, Martin Vetterli
A new iterative low complexity algorithm has been presented for computing the Walsh-Hadamard transform (WHT) of an $N$ dimensional signal with a $K$-sparse WHT, where $N$ is a power of two and $K = O(N^\alpha)$, scales sub-linearly in $N$ for some $0 < \alpha < 1$.
1 code implementation • EURASIP, EUPSICO 2007 • Olivier Roy, Martin Vetterli
Many signal processing algorithms include numerical problems where the solution is obtained by adjusting the value of parameters such that a specific matrix exhibits rank deficiency.