Publications related to Differentiable inverse rendering based on radiative backpropagation

Aggregating Spatial and Photometric Context for Photometric Stereo

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

EPFL2024

Compression and visual quality assessment for light field contents

Irene Viola

Since its invention in the 19th century, photography has allowed to create durable images of the world around us by capturing the intensity of light that flows through a scene, first analogically by using light-sensitive material, and then, with the advent ...

EPFL2019

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi

A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...

2019

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi

A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...

2019

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Bin Jin

Imaging devices have become ubiquitous in modern life, and many of us capture an increasing number of images every day. When we choose to share or store some of these images, our primary selection criterion is to choose the most visually pleasing ones. Yet ...

EPFL2018

Method, system, and device for learned invariant feature transform for computer images

Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny

A method for training a feature detector of an image processing device, including the steps of detecting features in the image to generate a score map, computing a center of mass on the score map to generate a location, extracting a patch from the image at ...

2018

Graph-Based Interpolation for Zooming in 3D Scenes

Pascal Frossard, Pinar Akyazi

In multiview systems, color plus depth format builds 3D representations of scenes within which the users can freely navigate by changing their viewpoints. In this paper we present a framework for view synthesis when the user requests an arbitrary viewpoint ...

2017

Point and sensor estimation from images

Martin Vetterli, Adam James Scholefield, Alireza Ghasemi

System comprising at least one sensor configured to take a set of images from different viewpoints of a scene; a processor configured to identifying a point source represented in the images of a set of images; computing for each image of the set of images ...

2017

Exploiting Large Image Sets for Road Scene Parsing

Mathieu Salzmann

There is an increasing interest in exploiting multiple images for scene understanding, with great progress in areas such as cosegmentation and video segmentation. Jointly analyzing the images in a large set offers the opportunity to exploit a greater sourc ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Differentiable inverse rendering based on radiative backpropagation

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Aggregating Spatial and Photometric Context for Photometric Stereo

Compression and visual quality assessment for light field contents

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Method, system, and device for learned invariant feature transform for computer images

Graph-Based Interpolation for Zooming in 3D Scenes

Point and sensor estimation from images

Exploiting Large Image Sets for Road Scene Parsing

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Aggregating Spatial and Photometric Context for Photometric Stereo

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Compression and visual quality assessment for light field contents

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Method, system, and device for learned invariant feature transform for computer images

Exploiting Large Image Sets for Road Scene Parsing

Graph-Based Interpolation for Zooming in 3D Scenes

Point and sensor estimation from images

Sampling and Reconstruction of Shapes with Algebraic Boundaries