Viewing real-world faces in 3D

Tal Hassner

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים


We present a data-driven method for estimating the 3D shapes of faces viewed in single, unconstrained photos (aka 'in-the-wild'). Our method was designed with an emphasis on robustness and efficiency-with the explicit goal of deployment in real-world applications which reconstruct and display faces in 3D. Our key observation is that for many practical applications, warping the shape of a reference face to match the appearance of a query, is enough to produce realistic impressions of the query's 3D shape. Doing so, however, requires matching visual features between the (possibly very different) query and reference images, while ensuring that a plausible face shape is produced. To this end, we describe an optimization process which seeks to maximize the similarity of appearances and depths, jointly, to those of a reference model. We describe our system for monocular face shape reconstruction and present both qualitative and quantitative experiments, comparing our method against alternative systems, and demonstrating its capabilities. Finally, as a testament to its suitability for real-world applications, we offer an open, on-line implementation of our system, providing unique means of instant 3D viewing of faces appearing in web photos.

שפה מקוריתאנגלית
כותר פרסום המארחProceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013
מוציא לאורInstitute of Electrical and Electronics Engineers Inc.
מספר עמודים8
מסת"ב (מודפס)9781479928392
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2013
אירוע2013 14th IEEE International Conference on Computer Vision, ICCV 2013 - Sydney, NSW, אוסטרליה
משך הזמן: 1 דצמ׳ 20138 דצמ׳ 2013

סדרות פרסומים

שםProceedings of the IEEE International Conference on Computer Vision


כנס2013 14th IEEE International Conference on Computer Vision, ICCV 2013
עירSydney, NSW

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