The correct estimation of the head pose is a problem of the great importance for many applications. For instance, it is an enabling technology in automotive for driver attention monitoring. In this paper, we tackle the pose estimation problem through a deep learning network working in regression manner. Traditional methods usually rely on visual facial features, such as facial landmarks or nose tip position. In contrast, we exploit a Convolutional Neural Network (CNN) to perform head pose estimation directly from depth data. We exploit a Siamese architecture and we propose a novel loss function to improve the learning of the regression network layer. The system has been tested on two public datasets, Biwi Kinect Head Pose and ICT-3DHP database. The reported results demonstrate the improvement in accuracy with respect to current state-of-the-art approaches and the real time capabilities of the overall framework.
From Depth Data to Head Pose Estimation: a Siamese approach / Venturelli, Marco; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita. - 5(2017), pp. 194-201. ((Intervento presentato al convegno 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2017) tenutosi a Porto, Portugal nel 27 february - 1 march, 2017.
Data di pubblicazione: | 2017 | |
Titolo: | From Depth Data to Head Pose Estimation: a Siamese approach | |
Autore/i: | Venturelli, Marco; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita | |
Autore/i UNIMORE: | ||
Digital Object Identifier (DOI): | http://dx.doi.org/10.5220/0006104501940201 | |
Codice identificativo Scopus: | 2-s2.0-85036623561 | |
Codice identificativo ISI: | WOS:000444905600020 | |
Nome del convegno: | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2017) | |
Luogo del convegno: | Porto, Portugal | |
Data del convegno: | 27 february - 1 march, 2017 | |
Volume: | 5 | |
Pagina iniziale: | 194 | |
Pagina finale: | 201 | |
Citazione: | From Depth Data to Head Pose Estimation: a Siamese approach / Venturelli, Marco; Borghi, Guido; Vezzani, Roberto; Cucchiara, Rita. - 5(2017), pp. 194-201. ((Intervento presentato al convegno 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2017) tenutosi a Porto, Portugal nel 27 february - 1 march, 2017. | |
Tipologia | Relazione in Atti di Convegno |
File in questo prodotto:
File | Descrizione | Tipologia | |
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VISAPP_2017_63.pdf | Versione dell'editore (versione pubblicata) | Open Access Visualizza/Apri |
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