Search
Publication Authors

Prof. Dr. Didier Stricker

Dr. Alain Pagani

Dr. Gerd Reis

Eric Thil

Keonna Cunningham

Monika Miersch

Dr. Oliver Wasenmüller

Dr. Muhammad Zeshan Afzal

Dr. Gabriele Bleser

Dr. Muhammad Jameel Nawaz Malik

Dr. Bruno Mirbach

Dr. Jason Raphael Rambach

Dr. Nadia Robertini

Dr. René Schuster

Dr. Bertram Taetz

Ahmed Aboukhadra

Dr. Sk Aziz Ali

Mhd Rashed Al Koutayni

Yuriy Anisimov
Anmol Prasad

Muhammad Asad Ali

Jilliam Maria Diaz Barros

Ramy Battrawy
Katharina Bendig
Hammad Butt

Mahdi Chamseddine
Chun-Peng Chang
Steve Dias da Cruz
Fangwen Shu

Torben Fetzer

Ahmet Firintepe

Sophie Folawiyo

David Michael Fürst
Anshu Garg

Christiano Couto Gava
Suresh Guttikonda

Tewodros Amberbir Habtegebrial

Simon Häring

Khurram Azeem Hashmi

Dr. Anna Katharina Hebborn

Hamoun Heidarshenas
Henri Hoyez

Pragati Jaiswal
Rahul Jakkamsetty

Alireza Javanmardi

Sai Srinivas Jeevanandam

Jigyasa Singh Katrolia

Matin Keshmiri

Andreas Kölsch
Ganesh Shrinivas Koparde
Onorina Kovalenko

Stephan Krauß
Bastian Krayer
Paul Lesur

Michael Lorenz

Dr. Markus Miezal

Mina Ameli

Nareg Minaskan Karabid

Mohammad Minouei

Shashank Mishra

Pramod Murthy

Mathias Musahl
Peter Neigel

Manthan Pancholi

Mariia Podguzova

Praveen Nathan
Qinzhuan Qian
Rishav

Marcel Rogge
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar

Alexander Schäfer

Pascal Schneider

Dr. Mohamed Selim

Tahira Shehzadi
Lukas Stefan Staecker

Yongzhi Su

Xiaoying Tan
Pelle Thielmann
Dr. Mohit Vaishnav

Shaoxiang Wang
Christian Witte

Yaxu Xie

Vemburaj Yadav

Yu Zhou

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Publication Archive
New title
- @VISOR
- @VISOR-HH
- 4DUS
- ActivityPlus
- AlphaView
- AlterEgo
- Anna C-trus
- AR-Handbook
- ARinfuse
- ARVIDA
- AuRoRas
- AVES/DyMoSiHR
- AVILUS+
- Be-greifen
- BIONIC
- Body Analyzer
- CAPTURE
- Co2Team
- COGNITO
- CONTACT
- DAKARA
- DENSITY
- DYNAMICS
- EASY-IMP
- EMERGENT
- ENNOS
- EPOS
- Eyes Of Things
- GreifbAR
- HyperCOG
- HYSOCIATEA
- iACT
- IMCVO
- iMP
- Infinity
- IVHM
- IVMT
- KI-Absicherung
- LARA
- LiSA
- Marmorbild
- Micro-Dress
- Moveon
- NetVis
- Odysseus Studio
- On Eye
- OrcaM
- PAMAP
- ProWiLAN
- ServiceFactory
- SIMILAR
- SINNODIUM
- STREET3D
- SUDPLAN
- SwarmTrack
- SYNERGIE
- TuBUs-Pro
- VES
- VIDETE
- VIDP
- Virtual Try-On
- VisIMon
- VISTRA
- VIZTA
- You in 3D
The More, the Merrier? A Study on In-Car IR-based Head Pose Estimation
The More, the Merrier? A Study on In-Car IR-based Head Pose Estimation
Ahmet Firintepe, Mohamed Selim, Alain Pagani, Didier Stricker
Proceedings. IEEE Intelligent Vehicles Symposium (IV-2020) 31st October 20-23 Las Vegas Nevada United States IEEE 2020 .
- Abstract:
- Deep learning methods have proven useful for head pose estimation, but the effect of their depth, type and input resolution based on infrared (IR) images still need to be explored. In this paper, we present a study on in-car head pose estimation on the IR images of the AutoPOSE dataset, where we extract 64x64 and 128x128 pixel cropped head images. We propose the novel networks Head Orientation Network (HON) and ResNetHG and compare them with state-of-the-art methods like the HPN model from DriveAHead on different input resolutions. In addition, we evaluate multiple depths within our HON and ResNetHG networks and their effect on the accuracy. Our experiments show that higher resolution images lead to lower estimation errors. Furthermore, we show that deep learning methods with fewer layers perform better on head orientation regression based on IR images. Our HON and ResNetHG18 architectures outperform the state-of-the-art on IR images on four different metrics, where we achieve a reduction of the residual error of up to 74%.