Publications related to Finding Lines under Bounded Error

Attribute Prediction as Multiple Instance Learning

Attribute-based representations help machine learning models perform tasks based on human understandable concepts, allowing a closer human-machine collaboration. However, learning attributes that accurately reflect the content of an image is not always str ...

2022

Differentiable inverse rendering based on radiative backpropagation

Wenzel Alban Jakob, Merlin Eléazar Nimier-David

A computer-implemented inverse rendering method is provided. The method comprises: computing an adjoint image by differentiating an objective function that evaluates the quality of a rendered image, image elements of the adjoint image encoding the sensitiv ...

2021

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

Alexis Berne, Christophe Praz, Mathieu Oscar Schaer

A new method to automatically discriminate between hydrometeors and blowing snow particles on MultiAngle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detecte ...

COPERNICUS GESELLSCHAFT MBH2020

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

Learning Generalized Nash Equilibria in a Class of Convex Games

Maryam Kamgarpour

We consider multiagent decision making where each agent optimizes its convex cost function subject to individual and coupling constraints. The constraint sets are compact convex subsets of a Euclidean space. To learn Nash equilibria, we propose a novel dis ...

2019

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

Pascal Fua, Bin Fan, Zheng Wang, Xiao Wang

This paper performs a comprehensive and comparative evaluation of the state of the art local features for the task of image based 3D reconstruction. The evaluated local features cover the recently developed ones by using powerful machine learning technique ...

2019

Variational Methods for Human Modeling

Timur Bagautdinov

A large part of computer vision research is devoted to building models and algorithms aimed at understanding human appearance and behaviour from images and videos. Ultimately, we want to build automated systems that are at least as capable as people when i ...

EPFL2018

Landmark Active Contours for Bioimage Analysis

Virginie Sophie Uhlmann

The problem of identifying the outline of objects in images can be approached from two starting points, either by considering localized features (landmarks, keypoints or regions), or by searching for global contours. Features are regions or points of int ...

EPFL2017

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

Finding Lines under Bounded Error

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Attribute Prediction as Multiple Instance Learning

Differentiable inverse rendering based on radiative backpropagation

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

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

Learning Generalized Nash Equilibria in a Class of Convex Games

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

Variational Methods for Human Modeling

Landmark Active Contours for Bioimage Analysis

Sampling and Reconstruction of Shapes with Algebraic Boundaries

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

Variational Methods for Human Modeling

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Attribute Prediction as Multiple Instance Learning

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

Learning Generalized Nash Equilibria in a Class of Convex Games

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

Differentiable inverse rendering based on radiative backpropagation

Landmark Active Contours for Bioimage Analysis