Image-Based Modeling of the Human Eye

Rendering realistic organic materials is a challenging issue. The human eye is an important part of nonverbal communication which, consequently, requires specific modeling and rendering techniques to enhance the realism of virtual characters. We propose an image-based method for estimating both iris...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics Jg. 15; H. 5; S. 815 - 827
Hauptverfasser: Francois, G., Gautron, P., Breton, G., Bouatouch, K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.09.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schriftenreihe:IEEE
Schlagworte:
Algorithms
Computer Science
Estimating
Eyes
Graphics
Human
Humans
Image Processing, Computer-Assisted - methods
image-based rendering
Iris
Iris - anatomy & histology
Light
Light scattering
Mathematical analysis
Mathematical models
Microscopy, Electron, Scanning
Models, Anatomic
Morphology
Optical films
Optical refraction
Optical scattering
Organic materials
Photography - methods
physically based modeling
Refraction, Ocular
Rendering
Rendering (computer graphics)
Reproducibility of Results
Scattering
Scattering, Radiation
Three-dimensional graphics and realism
ISSN:1077-2626, 1941-0506
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Rendering realistic organic materials is a challenging issue. The human eye is an important part of nonverbal communication which, consequently, requires specific modeling and rendering techniques to enhance the realism of virtual characters. We propose an image-based method for estimating both iris morphology and scattering features in order to generate convincing images of virtual eyes. In this regard, we develop a technique to unrefract iris photographs. We model the morphology of the human iris as an irregular multilayered tissue. We then approximate the scattering features of the captured iris. Finally, we propose a real-time rendering technique based on the subsurface texture mapping representation and introduce a precomputed refraction function as well as a caustic function, which accounts for the light interactions at the corneal interface.
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2009.24