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Related publications (27)

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Visual Attention and Perceptual Quality in Omnidirectional Imaging

Evgeniy Upenik

Omnidirectional imaging has reached a level of widespread availability driven by recent advances in integrated circuit technology, image sensors, and computer graphics which allow now capturing, rendering and displaying of such type of immersive content in ...

EPFL2020

Object identity determines trans-saccadic integration

Michael Herzog, Leila Drissi Daoudi - Kleinbauer

Humans make two to four rapid eye movements (saccades) per second, which, surprisingly, does not lead to abrupt changes in vision. To the contrary, we perceive a stable world. Hence, an important question is how information is integrated across saccades. T ...

Association for Research in Vision and Ophthalmology2020

Ori-Pixel, a Multi-DoFs Origami Pixel for Modular Reconfigurable Surfaces

Jamie Paik, Stefano Mintchev, Marco Salerno

Reconfigurable surfaces using robotic pixels can produce discretize 3D contours, shapes and motion patterns. In existing devices, the rendering resolution and richness of shapes and patterns are limited by the use of linear pixels that only produce single ...

2020

Multi-spectral image priniting method

Martin Vetterli, Yves Bellouard, Adam James Scholefield, Gilles Baechler, Michalina Wanda Pacholska, Arnaud Latty

The present disclosure concerns a multi-spectral image printing method. The method includes the steps of: - providing a multi-spectral image; - providing a material; - determining changes in a refractive index value of the material permitting to reproduce ...

2019

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Mohammad Saeed Rad

Despite well-established baselines, learning of scene depth and ego-motion from monocular video remains an ongoing challenge, specifically when handling scaling ambiguity issues and depth inconsistencies in image sequences. Much prior work uses either a su ...

IEEE COMPUTER SOC2019

On the first JND and break in presence of 360-degree content

Pascal Frossard, Roberto Gerson De Albuquerque Azevedo

Unlike traditional planar 2D visual content, immersive 360-degree images and videos undergo particular processing steps and are intended to be consumed via head-mounted displays (HMDs). To get a deeper understanding on the perception of 360-degree visual d ...

ACM Press2019

Joint Learning of Semantic Alignment and Object Landmark Detection

Seungryong Kim

Convolutional neural networks (CNNs) based approaches for semantic alignment and object landmark detection have improved their performance significantly. Current efforts for the two tasks focus on addressing the lack of massive training data through weakly ...

IEEE2019