Screen-space perceptual rendering of human skin

Jiménez, Jorge; Sundstedt, Veronica; Gutiérrez, Diego

doi:10.1145/1609967.1609970

Cited by 67 publications

(64 citation statements)

References 17 publications

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“…Each diffusion profile is then transformed from spectral XYZ tri-stimulus values to sRGB color space for rendering. These profiles are given in tabulated form, and in the form of a sum of six Gaussians (following D'Eon et al [dL07]), making them ready to use even in real-time rendering applications [dLE07,JSG09].…”

Section: Using Our Modelmentioning

confidence: 99%

A Biophysically‐Based Model of the Optical Properties of Skin Aging

Guitián

Aliaga

Jarabo

et al. 2015

Computer Graphics Forum

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Figure 1: Our biophysically-based model allows to reproduce the changes in the optical properties of skin due to aging, which greatly affects its appearance. Structural changes and varying chromophore concentrations yield changes in the scattering and absorption coefficients, producing paler and slightly more translucent skin. The image shows examples for 30-and 80-year-olds, with mediterranean skin (type III) for the male, and caucasian (type I) for the female. The small inset shows the very different scattering profiles for each one: A and B correspond to the old and young males respectively, while C and D correspond to the old and young females. All the rendered images in the paper are best viewed in the digital version. AbstractThis paper presents a time-varying, multi-layered biophysically-based model of the optical properties of human skin, suitable for simulating appearance changes due to aging. We have identified the key aspects that cause such changes, both in terms of the structure of skin and its chromophore concentrations, and rely on the extensive medical and optical tissue literature for accurate data. Our model can be expressed in terms of biophysical parameters, optical parameters commonly used in graphics and rendering (such as spectral absorption and scattering coefficients), or more intuitively with higher-level parameters such as age, gender, skin care or skin type. It can be used with any rendering algorithm that uses diffusion profiles, and it allows to automatically simulate different types of skin at different stages of aging, avoiding the need for artistic input or costly capture processes.

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Section: Using Our Modelmentioning

confidence: 99%

A Biophysically‐Based Model of the Optical Properties of Skin Aging

Guitián

Aliaga

Jarabo

et al. 2015

Computer Graphics Forum

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“…Jimenez et al . extended the texture‐space technique to screen‐space by applying screen‐space information to blur the result in multiple times . Krishnaswamy and Baranoski proposed a biophysically based spectral model for skin parameter acquisition .…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, we aim to simulate the realistic rendering effect of human skin with cosmetics applied. A screen‐space skin rendering technique and a physically based Kubelka–Munk model are employed to rendering cosmetic effects. Some cosmetic effects such as pearl and glitter effects are not handled in the proposed method because their optical properties are difficult to be measured.…”

Section: Introductionmentioning

confidence: 99%

Physically based cosmetic rendering

Huang

Lin

et al. 2013

Computer Animation & Virtual

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Simulating realistic makeup effects is one of the important research issues in the 3D facial animation and cosmetic industry. Existing approaches based on image processing techniques, such as warping and blending, have been mostly applied to transfer one's makeup to another's. Although these approaches are intuitive and need only makeup images, they have some drawbacks, e.g., distorted shapes and fixed viewing and lighting conditions. In this paper, we propose an integrated approach, which combines the Kubelka-Munk model and a screen-space skin rendering approach, to simulate 3D makeup effects. The Kubelka-Munk model is used to compute total transmittance when light passes through cosmetic layers, while the screen-space translucent rendering approach simulates the subsurface scattering effects inside human skin. The parameters of Kubelka-Munk model are obtained by measuring the optical properties of different cosmetic materials, such as foundations, blushes and lipsticks. Our results demonstrate that the proposed approach is able to render realistic cosmetic effects on human facial models and different cosmetic materials and styles can be flexibly applied and simulated in real time.

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“…Recent examples include models for the psychophysics of photorealistic materials [Vangorp et al 2007;Rushmeier 2008;Jimenez et al 2009], natural illumination [Fleming et al 2003;Cadík 2004;Křivánek et al 2010;Lopez-Moreno et al 2010], occlusions [Kozlowski and Kautz 2007;Yu et al 2009], the ability to differentiate close variations of the stimuli [Ramasubramanian et al 1999;McNamara 2006], and has also described the influence of object variety [McDonnell et al 2008;Ramanarayanan et al 2008]. However, none of these focuses on the specifics of motion blurred images nor time varying images.…”

Section: Previous Workmentioning

confidence: 99%

Perceptual considerations for motion blur rendering

Navarro

Castillo

Serón

et al. 2011

ACM Trans. Appl. Percept.

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Motion blur is a frequent requirement for the rendering of high-quality animated images. However, the computational resources involved are usually higher than those for images that have not been temporally antialiased. In this article we study the influence of high-level properties such as object material and speed, shutter time, and antialiasing level. Based on scenes containing variations of these parameters, we design different psychophysical experiments to determine how influential they are in the perception of image quality.This work gives insights on the effects these parameters have and exposes certain situations where motion blurred stimuli may be indistinguishable from a gold standard. As an immediate practical application, images of similar quality can be produced while the computing requirements are reduced.Algorithmic efforts have traditionally been focused on finding new improved methods to alleviate sampling artifacts by steering computation to the most important dimensions of the rendering equation. Concurrently, rendering algorithms can take advantage of certain perceptual limits to simplify and optimize computations. To our knowledge, none of them has identified nor used these limits in the rendering of motion blur. This work can be considered a first step in that direction.

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Screen-space perceptual rendering of human skin

Cited by 67 publications

References 17 publications

A Biophysically‐Based Model of the Optical Properties of Skin Aging

A Biophysically‐Based Model of the Optical Properties of Skin Aging

Physically based cosmetic rendering

Perceptual considerations for motion blur rendering

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