Publications by Emmanuel D'Angelo

From Bits to Images: Inversion of Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques, Emmanuel D'Angelo

Local Binary Descriptors are becoming more and more popular for image matching tasks, especially when going mobile. While they are extensively studied in this context, their ability to carry enough information in order to infer the original image is seldom ...

Institute of Electrical and Electronics Engineers2014

Patch-based methods for variational image processing problems

Emmanuel D'Angelo

Image Processing problems are notoriously difficult. To name a few of these difficulties, they are usually ill-posed, involve a huge number of unknowns (from one to several per pixel!), and images cannot be considered as the linear superposition of a few p ...

EPFL2013

Method to compensate the effect of the rolling shutter effect

Pierre Vandergheynst, Emmanuel D'Angelo

A method to create a video sequence of a plurality of resultant images is disclosed. The video sequence is produced from images originating from a rolling shutter acquisition sensor. ...

2013

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Emmanuel D'Angelo

Local Binary Descriptors (LBDs) are good at matching image parts, but how much information is actually carried? Surprisingly, this question is usually ignored and replaced by a comparison of matching performances. In this paper, we directly address it by t ...

2012

FAST TV-L1 OPTICAL FLOW FOR INTERACTIVITY

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo, Johann Paratte

Vision is a natural tool for human-computer interaction, since it pro- vides visual feedback to the user and mimics some human behaviors. It requires however the fast and robust computation of motion primi- tives, which remains a difficult problem. In this ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

FULLY NON-LOCAL SUPER-RESOLUTION VIA SPECTRAL HASHING

Pierre Vandergheynst, Emmanuel D'Angelo

Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficul- ties of fine image registration, several methods have been proposed exploiting the non-local intuition, i.e. any datapoint can ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Tracking and Structure from Motion

Pierre Vandergheynst, Luigi Bagnato, Emmanuel D'Angelo, Andreas Weishaupt

Dense three-dimensional reconstruction of a scene from images is a very challenging task. In the structure from motion approach one of the key points is to compute depth maps which contain the distance of objects in the scene to a moving camera. Usually, t ...

2010

Towards unifying diffusion and exemplar-based inpainting

Pierre Vandergheynst, Emmanuel D'Angelo

A novel framework for image inpainting is proposed, relying on graph-based diffusion processes. Depending on the construction of the graph, both flow-based and exemplar-based inpainting methods can be implemented by the same equations, hence providing a un ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

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From Bits to Images: Inversion of Local Binary Descriptors

Patch-based methods for variational image processing problems

Method to compensate the effect of the rolling shutter effect

Beyond Bits: Reconstructing Images from Local Binary Descriptors

FAST TV-L1 OPTICAL FLOW FOR INTERACTIVITY

FULLY NON-LOCAL SUPER-RESOLUTION VIA SPECTRAL HASHING

Tracking and Structure from Motion

Towards unifying diffusion and exemplar-based inpainting

An optimal first-order solver for the TV-$L_1$ optical flow problem

Towards unifying diffusion and exemplar-based inpainting

Method to compensate the effect of the rolling shutter effect

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Patch-based methods for variational image processing problems

Tracking and Structure from Motion

An optimal first-order solver for the TV-$L_1$ optical flow problem

FULLY NON-LOCAL SUPER-RESOLUTION VIA SPECTRAL HASHING

From Bits to Images: Inversion of Local Binary Descriptors

FAST TV-L1 OPTICAL FLOW FOR INTERACTIVITY