no code implementations • 4 Jan 2024 • Darshan Venkatrayappa, Alain Tremeau, Damien Muselet, Philippe Colantoni
3D human body shape and pose estimation from RGB images is a challenging problem with potential applications in augmented/virtual reality, healthcare and fitness technology and virtual retail.
no code implementations • 21 Jul 2021 • Songuel Polat, Alain Tremeau, Frank Boochs
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applications.
no code implementations • 14 Dec 2020 • Alain Tremeau, Sixiang Xu, Damien Muselet
Recognizing material from color images is still a challenging problem today.
no code implementations • 9 Dec 2018 • Rada Deeb, Joost Van de Weijer, Damien Muselet, Mathieu Hebert, Alain Tremeau
In this work, we propose a CNN-based approach to estimate the spectral reflectance of a surface and the spectral power distribution of the light from a single RGB image of a V-shaped surface.
no code implementations • 5 Mar 2018 • Rada Deeb, Damien Muselet, Mathieu Hebert, Alain Tremeau
Light interreflections occurring in a concave object generate a color gradient which is characteristic of the object's spectral reflectance.
1 code implementation • 25 Jul 2017 • Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, Christian Wolf
However, for semantic image segmentation, where the task consists in providing a semantic class to each pixel of an image, feature maps reduction is harmful because it leads to a resolution loss in the output prediction.
no code implementations • 25 Feb 2016 • Thomas Castelli, Aidean Sharghi, Don Harper, Alain Tremeau, Mubarak Shah
In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regulations and public safety.
no code implementations • 7 May 2015 • Citlalli Gamez Serna, Ruven Pillay, Alain Tremeau
In this paper we present a semi-automatic 2D-3D local registration pipeline capable of coloring 3D models obtained from 3D scanners by using uncalibrated images.