loading
  • Login
  • Sign-Up

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jasenko Zivanov ; Pascal Paysan and Thomas Vetter

Affiliation: University of Basel, Switzerland

ISBN: 978-989-8111-67-8

Keyword(s): Face rendering, Face normal map, Normal map capture, Surface reconstruction.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Image-Based Modeling ; Image-Based Rendering ; Lighting and Appearance ; Pattern Recognition ; Reflection and Illumination Models ; Rendering ; Software Engineering ; Surface Modeling ; Texture Models, Analysis, and Synthesis

Abstract: Obtaining photorealistic scans of human faces is both challenging and expensive. Capturing the highfrequency components of skin surface structure requires the face to be scanned at very high resolutions, outside the range of most structured light 3D scanners. We present a novel and simple enhancement to the acquisition process, requiring only four photographic flashlights and three texture cameras attached to the structured light scanner setup. The three texture cameras capture one texture map (luminance map) of the face as illuminated by each of the four flash-lights. Based on those four luminance textures, three normal maps of the head are approximated, one for each color channel. Those normal maps are then used to reconstruct a 3D model of the head at a much higher mesh resolution, in order to validate the normals. Finally, the validated normals are used as a normal map at rendering time. Alternatively, the reconstructed high resolution model can also be used for rendering.

PDF ImageFull Text

Download
Sign In Guest: Register as new SCITEPRESS user or Join INSTICC now for free.

Sign In SCITEPRESS user: please login.

Sign In INSTICC Members: please login. If not a member yet, Join INSTICC now for free.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.204.185.160. INSTICC members have higher download limits (free membership now)

In the current month:
Recent papers: 1 available of 1 total
2+ years older papers: 2 available of 2 total

Paper citation in several formats:
Zivanov J., Paysan P. and Vetter T. (2009). FACIAL NORMAL MAP CAPTURE USING FOUR LIGHTS - An Effective and Inexpensive Method of Capturing the Fine Scale Detail of Human Faces using Four Point Lights.In Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009)ISBN 978-989-8111-67-8, pages 13-20. DOI: 10.5220/0001773300130020

@conference{grapp09,
author={Jasenko Zivanov and Pascal Paysan and Thomas Vetter},
title={FACIAL NORMAL MAP CAPTURE USING FOUR LIGHTS - An Effective and Inexpensive Method of Capturing the Fine Scale Detail of Human Faces using Four Point Lights},
booktitle={Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009)},
year={2009},
pages={13-20},
doi={10.5220/0001773300130020},
isbn={978-989-8111-67-8},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2009)
TI - FACIAL NORMAL MAP CAPTURE USING FOUR LIGHTS - An Effective and Inexpensive Method of Capturing the Fine Scale Detail of Human Faces using Four Point Lights
SN - 978-989-8111-67-8
AU - Zivanov J.
AU - Paysan P.
AU - Vetter T.
PY - 2009
SP - 13
EP - 20
DO - 10.5220/0001773300130020

Sorted by: Show papers

Note: The preferred Subjects/Areas/Topics, listed below for each paper, are those that match the selected paper topics and their ontology superclasses.
More...

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

Show authors

Note: The preferred Subjects/Areas/Topics, listed below for each author, are those that more frequently used in the author's papers.
More...