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

A method for reducing noise in measurements taken by a distributed sensor

According to the present invention there is provided a method of sensing comprising the steps of, (a) acquiring plurality of measurement values using a distributed optical fibre sensor; (b) arranging the plurality of measurement values in a matrix having a ...

2016

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

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

Ultra Low Noise CMOS Image Sensors

Assim Boukhayma

CMOS Image Sensors (CIS) overtook the charge coupled devices (CCDs) in low noise performance. Photoelectron counting capability is the next step for CIS for ultimate low light performance and new imaging paradigms. This work presents a review of CMOS image ...

EPFL2016

Encoder-Driven Inpainting Strategy in Multiview Video Compression

Pascal Frossard, Thomas Maugey, Yu Gao

In free viewpoint video systems, where a user has the freedom to select a virtual view from which an observation image of the 3D scene is rendered, the scene is commonly represented by texture and depth images from multiple nearby viewpoints. In such repre ...

Institute of Electrical and Electronics Engineers2016

Learning to Match Aerial Images with Deep Attentive Architectures

Pascal Fua, Eduard Trulls Fortuny, Hani Altwaijry

Image matching is a fundamental problem in Computer Vision. In the context of feature-based matching, SIFT and its variants have long excelled in a wide array of applications. However, for ultra-wide baselines, as in the case of aerial images captured unde ...

2016

Registration of single landscape photographs with 3D landscape models

Timothée Produit

Terrestrial imagery found in public databases is an alternative and complementary data source for environmental studies. Compared to usual data source, such as airborne images, terrestrial pictures may have higher temporal and spatial resolutions. They are ...

EPFL2015

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Davide Scaramuzza

In this paper, we address the problem of globally localizing and tracking the pose of a camera-equipped micro aerial vehicle (MAV) flying in urban streets at low altitudes without GPS. An image-based global positioning system is introduced to localize the ...

John Wiley & Sons2015

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Wenzel Alban Jakob

Renderings of animation sequences with physics-based Monte Carlo light transport simulations are exceedingly costly to generate frame-by-frame, yet much of this computation is highly redundant due to the strong coherence in space, time and among samples. A ...

Eurographics Association2015

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

Pascal Fua, Alberto Crivellaro, Anne Alison Jorstad, Tien Dat Ngo, Sanghyuk Park

Deformable surface tracking from monocular images is well-known to be under-constrained. Occlusions often make the task even more challenging, and can result in failure if the surface is not sufficiently textured. In this work, we explicitly address the pr ...

2015

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

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A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Exploiting Large Image Sets for Road Scene Parsing

Ultra Low Noise CMOS Image Sensors

Encoder-Driven Inpainting Strategy in Multiview Video Compression

Learning to Match Aerial Images with Deep Attentive Architectures

Registration of single landscape photographs with 3D landscape models

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Encoder-Driven Inpainting Strategy in Multiview Video Compression

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Learning to Match Aerial Images with Deep Attentive Architectures

Ultra Low Noise CMOS Image Sensors

Exploiting Large Image Sets for Road Scene Parsing

Registration of single landscape photographs with 3D landscape models

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture