Publication
Image Matching Across Wide Baselines: From Paper to Practice
Related publications (34)
Unsupervised Stereo Matching Using Confidential Correspondence Consistency
Stereo matching aims to perceive the 3D geometric configuration of scenes and facilitates a variety of computer vision in advanced driver assistance systems (ADAS) applications. Recently, deep convolutional neural networks (CNNs) have shown dramatic perfor ...
2020Beyond Cameras: Real-Time High-Resolution 3D and Panoramic MultiView Vision Systems with Their Applications
The cameras are invented by imitating the human visual system to capture the scene. The camera
technologies have been substantially advanced in recent years. 108 MP resolution with 100x hybrid
zoom has become standard features for smartphone flagships. In ...
EPFL2020Robust Adaptive Decision Making: Bayesian Optimization and Beyond
The central task in many interactive machine learning systems can be formalized as the sequential optimization of a black-box function. Bayesian optimization (BO) is a powerful model-based framework for \emph{adaptive} experimentation, where the primary go ...
EPFL2019Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects
Estimating the 3D poses of rigid and articulated bodies is one of the fundamental problems of Computer Vision. It has a broad range of applications including augmented reality, surveillance, animation and human-computer interaction. Despite the ever-growin ...
EPFL2018Learning 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 ...
2016Towards Scalable Segmentation of 3D Image Stacks
Imaging modalities such as Electron Microscopy (EM) and Light Microscopy (LM) can now deliver high-quality, high-resolution image stacks of neural structures. Though these imaging modalities can be used to analyze a variety of components that are critical ...
EPFL2016Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes
This thesis addresses the problem of recovering the 3-D shape of a deformable object in single images, or image sequences acquired by a monocular video camera, given that a 3-D template shape and a template image of the object are available. While being a ...
EPFL2016Domain Adaptation for Microscopy Imaging
Pascal Fua, Carlos Joaquin Becker, Christos Marios Christoudias
Electron and Light Microscopy imaging can now deliver high-quality image stacks of neural structures. However, the amount of human annotation effort required to analyze them remains a major bottleneck. While Machine Learning algorithms can be used to help ...
Institute of Electrical and Electronics Engineers2015Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles
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 & Sons2015A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion
Nadia Barbara Figueroa Fernandez
We propose a 6D RGB-D odometry approach that finds the relative camera pose between consecutive RGB-D frames by keypoint extraction and feature matching both on the RGB and depth image planes. Furthermore, we feed the estimated pose to the highly accurate ...
Assoc Computing Machinery2015