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Expression Recognition Using the Periocular Region: A Feasibility Study
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-1400-346X
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR Centrum för tillämpade intelligenta system (IS-lab).ORCID-id: 0000-0002-4929-1262
RISE Viktoria, Gothenburg, Sweden.ORCID-id: 0000-0002-1043-8773
2018 (engelsk)Inngår i: 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / [ed] Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillón-Santana & Richard Chbeir, Los Alamitos: IEEE Computer Society, 2018, s. 536-541Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has the advantage of being available over a wide range of distances and under partial face occlusion, thus making it suitable for unconstrained or uncooperative scenarios. We evaluate five different image descriptors on a dataset of 1,574 images from 118 subjects. The experimental results show an average/overall accuracy of 67.0%/78.0% by fusion of several descriptors. While this accuracy is still behind that attained with full-face methods, it is noteworthy to mention that our initial approach employs only one frame to predict the expression, in contraposition to state of the art, exploiting several order more data comprising spatial-temporal data which is often not available.

sted, utgiver, år, opplag, sider
Los Alamitos: IEEE Computer Society, 2018. s. 536-541
Emneord [en]
Expression Recognition, Emotion Recognition, Periocular Analysis, Periocular Descriptor
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-38505ISBN: 978-1-5386-9385-8 (digital)ISBN: 978-1-5386-9386-5 (tryckt)OAI: oai:DiVA.org:hh-38505DiVA, id: diva2:1268690
Konferanse
The 14th International Conference on Signal Image Technology & Internet Based Systems, SITIS 2018, Las Palmas de Gran Canaria, Spain, 26-29 November, 2018
Prosjekter
SIDUS-AIR
Forskningsfinansiär
Swedish Research CouncilKnowledge Foundation
Merknad

Funding: Author F. A.-F. thanks the Swedish Research Council for funding his research. Authors acknowledge the CAISR program and the SIDUS-AIR project of the Swedish Knowledge Foundation.

Tilgjengelig fra: 2018-12-06 Laget: 2018-12-06 Sist oppdatert: 2019-05-16bibliografisk kontrollert

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