Related publications (20)

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

Pascal Fua

3D reconstruction of deformable (or non-rigid) scenes from a set of monocular 2D image observations is a long-standing and actively researched area of computer vision and graphics. It is an ill-posed inverse problem, since-without additional prior assumpti ...
WILEY2023

Learning to Represent and Reconstruct 3D Deformable Objects

Jan Bednarík

Representing and reconstructing 3D deformable shapes are two tightly linked problems that have long been studied within the computer vision field. Deformable shapes are truly ubiquitous in the real world, whether be it specific object classes such as human ...
EPFL2022

Deep eyes: Joint depth inference using monocular and binocular cues

Siyuan Li, Yang Yang

Human visual system relies on both monocular focusness cues and binocular stereo cues to gain effective 3D perception. Correspondingly, depth from focus/defocus (DfF/DfD) and stereo matching are two most studied passive depth sensing schemes, which are tra ...
ELSEVIER2021

Learning stereo reconstruction with deep neural networks

Stepan Tulyakov

Stereo reconstruction is a problem of recovering a 3d structure of a scene from a pair of images of the scene, acquired from different viewpoints. It has been investigated for decades and many successful methods were developed. The main drawback of these ...
EPFL2020

A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

Davide Scaramuzza

In this tutorial, we provide principled methods to quantitatively evaluate the quality of an estimated trajectory from visual(-inertial) odometry (VO/VIO), which is the foundation of benchmarking the accuracy of different algorithms. First, we show how to ...
2019

Consciousness is more than meets the eye: a call for a multisensory study of subjective experience

Nathan Quentin Faivre, Roy Salomon

Over the last 30 years, our understanding of the neurocognitive bases of consciousness has improved, mostly through studies employing vision. While studying consciousness in the visual modality presents clear advantages, we believe that a comprehensive sci ...
Oxford University Press (OUP)2017

Multisensory effects on somatosensation: a trimodal visuo-vestibular-tactile interaction

Olaf Blanke, Bruno Herbelin, Mariia Kaliuzhna

Vestibular information about self-motion is combined with other sensory signals. Previous research described both visuo-vestibular and vestibular-tactile bilateral interactions, but the simultaneous interaction between all three sensory modalities has not ...
Nature Publishing Group2016

Multisensory Integration in Self Motion Perception

Olaf Blanke, Mariia Kaliuzhna

Self motion perception involves the integration of visual, vestibular, somatosensory and motor signals. This article reviews the findings from single unit electrophysiology, functional and structural magnetic resonance imaging and psychophysics to present ...
Brill Academic Publishers2016

Learning to integrate contradictory multisensory self-motion cue pairings

Olaf Blanke, Mariia Kaliuzhna, Steven Gale, Sunho Lee

Humans integrate multisensory information to reduce perceptual uncertainty when perceiving the world and self. Integration fails, however, if a common causality is not attributed to the sensory signals, as would occur in conditions of spatiotemporal discre ...
Association for Research in Vision and Ophthalmology2015

Visuomotor Coordination in Reach-To-Grasp Tasks: From Humans to Humanoids and Vice Versa

Luka Lukic

Understanding the principles involved in visually-based coordinated motor control is one of the most fundamental and most intriguing research problems across a number of areas, including psychology, neuroscience, computer vision and robotics. Not very much ...
EPFL2015

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