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Aims. We aim to elucidate the spectral changes in the 3 micron region that result from chemical changes in the molecular periphery of polycyclic aromatic hydrocarbons (PAHs) with extra hydrogens (H-PAHs) and methyl groups (Me-PAHs).…

Astrophysics of Galaxies · Physics 2018-04-04 E. Maltseva , C. J. Mackie , A. Candian , A. Petrignani , X. Huang , T. J. Lee , A. G. G. M. Tielens , J. Oomens , WJ Buma

This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body poses, and viewpoints. Prior methods typically attempt to…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Hao Zhu , Xinxin Zuo , Sen Wang , Xun Cao , Ruigang Yang

Quantitative phase imaging (QPI) quantifies the sample-specific optical-phase-delay enabling objective studies of optically-transparent specimens such as biological samples, but lacks chemical sensitivity limiting its application to…

Optics · Physics 2019-09-04 Miu Tamamitsu , Keiichiro Toda , Ryoichi Horisaki , Takuro Ideguchi

We present Perm, a learned parametric representation of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair structure and local curl patterns, we propose to…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Chengan He , Xin Sun , Zhixin Shu , Fujun Luan , Sören Pirk , Jorge Alejandro Amador Herrera , Dominik L. Michels , Tuanfeng Y. Wang , Meng Zhang , Holly Rushmeier , Yi Zhou

In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape…

Computer Vision and Pattern Recognition · Computer Science 2019-08-02 Valentin Gabeur , Jean-Sebastien Franco , Xavier Martin , Cordelia Schmid , Gregory Rogez

We present CaPhy, a novel method for reconstructing animatable human avatars with realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and physical properties of the clothing from real observations.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Zhaoqi Su , Liangxiao Hu , Siyou Lin , Hongwen Zhang , Shengping Zhang , Justus Thies , Yebin Liu

The use of micro-Raman spectroscopy, through chemical bond nano-scale probes, allows the changes in conformations (alpha helix -> beta sheet), chain orientation, disconnection of disulfide bonds (-20%) and the increase of intra and…

Materials Science · Physics 2007-06-07 Philippe Colomban , Raphaël Paquin

We introduce a nanomechanical platform for fast and sensitive measurements of the spectrally-resolved optical dielectric function of 2D materials. At the heart of our approach is a suspended 2D material integrated into a nanomechanical…

We present cytometric classification of live healthy and cancer cells by using the spatial morphological and textural information found in the label-free quantitative phase images of the cells. We compare both healthy cells to primary tumor…

Quantitative Methods · Quantitative Biology 2020-01-23 Darina Roitshtain , Lauren Wolbromsky , Evgeny Bal , Hayit Greenspan , Lisa L. Satterwhite , Natan T. Shaked

We propose a novel method that reconstructs hair strands directly from colorless 3D scans by leveraging multi-modal hair orientation extraction. Hair strand reconstruction is a fundamental problem in computer vision and graphics, essential…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Rachmadio Noval Lazuardi , Artem Sevastopolsky , Egor Zakharov , Matthias Niessner , Vanessa Sklyarova

3D Morphable Models (3DMMs) have played a pivotal role as a fundamental representation or initialization for 3D avatar animation and reconstruction. However, extending 3DMMs to hair remains challenging due to the difficulty of enforcing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Zidu Wang , Jiankuo Zhao , Miao Xu , Xiangyu Zhu , Zhen Lei

We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier morphable face models it not only captures identity-specific geometry, texture, and expressions of the frontal face, but also models the entire…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Tarun Yenamandra , Ayush Tewari , Florian Bernard , Hans-Peter Seidel , Mohamed Elgharib , Daniel Cremers , Christian Theobalt

Motion-related artifacts are inevitable in Magnetic Resonance Imaging (MRI) and can bias automated neuroanatomical metrics such as cortical thickness. These biases can interfere with statistical analysis which is a major concern as motion…

Image and Video Processing · Electrical Eng. & Systems 2025-06-11 Charles Bricout , Samira Ebrahimi Kahou , Sylvain Bouix

Many optical approaches have been used to examine the composition and structure of gemstones, both recently and throughout history. The nonlinear optical behavior of different gemstones has not been investigated, and the higher order terms…

Optics · Physics 2018-10-10 Benjamin Cromey , Ryan J. Knox , Khanh Kieu

Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of the human head to date that includes face, cranium, ears,…

Computer Vision and Pattern Recognition · Computer Science 2020-02-21 Stylianos Ploumpis , Evangelos Ververas , Eimear O' Sullivan , Stylianos Moschoglou , Haoyang Wang , Nick Pears , William A. P. Smith , Baris Gecer , Stefanos Zafeiriou

Generating realistic human 3D reconstructions using image or video data is essential for various communication and entertainment applications. While existing methods achieved impressive results for body and facial regions, realistic hair…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Vanessa Sklyarova , Jenya Chelishev , Andreea Dogaru , Igor Medvedev , Victor Lempitsky , Egor Zakharov

This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. Polarization images are known to be able to capture polarized reflected lights that preserve rich…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Shihao Zou , Xinxin Zuo , Yiming Qian , Sen Wang , Chi Xu , Minglun Gong , Li Cheng

Soil as a complex multi-phase porous material typical exhibits several distributed relaxation processes in the frequency range from 1 MHz to approximately 10 GHz of interest in applications. To relate physico-chemical material parameters to…

Geophysics · Physics 2024-06-04 Norman Wagner , Markus Loewer

Femoroacetabular impingement (FAI) cam morphology is routinely assessed using two-dimensional alpha angles which do not provide specific data on cam size characteristics. The purpose of this study is to implement a novel, automated…

Image and Video Processing · Electrical Eng. & Systems 2021-12-07 Jessica M. Bugeja , Ying Xia , Shekhar S. Chandra , Nicholas J. Murphy , Jillian Eyles , Libby Spiers , Stuart Crozier , David J. Hunter , Jurgen Fripp , Craig Engstrom

After introducing the gravitational decoupling method and the hairy black hole recently derived from it, we investigate the formation of quantum hairy black holes by applying the horizon quantum mechanics formalism. It enables us to…

General Relativity and Quantum Cosmology · Physics 2023-01-03 R. T. Cavalcanti , J. M. Hoff da Silva