Example-based Skin Wrinkle Displacement Maps

R.G.F.P. Vanderfeesten; J. Bikker

doi:10.1109/SIBGRAPI.2018.00034

Example-based Skin Wrinkle Displacement Maps

R.G.F.P. Vanderfeesten
, J. Bikker

Sub Geometric Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We present an algorithm for generating procedural displacement maps for wrinkle patterns measured from photographs or scans. These displacement maps can contain wrinkle patterns that appear at the meso- and microscale, and are modeled using several spatially varying parameters such as the size, shape and distribution of each individual skin wrinkle. We present an algorithm to measure the parameters of skin wrinkle patterns, and show how to adapt the measured parameters to generate displacement maps with similar properties for 3D models other than the one measured. Lastly, we evaluate the quality of the generated maps by comparing them to maps acquired by scanning human skin.

Original language	English
Title of host publication	Proceedings of the Brazilian Symposium on Computer Graphics and Image Processing
Publisher	IEEE
DOIs	https://doi.org/10.1109/SIBGRAPI.2018.00034
Publication status	Published - 17 Jan 2019

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10.1109/SIBGRAPI.2018.00034

Example-Based_Skin_Wrinkle_Displacement_MapsFinal published version, 1.92 MBLicence: Taverne

Cite this

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title = "Example-based Skin Wrinkle Displacement Maps",

abstract = "We present an algorithm for generating procedural displacement maps for wrinkle patterns measured from photographs or scans. These displacement maps can contain wrinkle patterns that appear at the meso- and microscale, and are modeled using several spatially varying parameters such as the size, shape and distribution of each individual skin wrinkle. We present an algorithm to measure the parameters of skin wrinkle patterns, and show how to adapt the measured parameters to generate displacement maps with similar properties for 3D models other than the one measured. Lastly, we evaluate the quality of the generated maps by comparing them to maps acquired by scanning human skin.",

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N2 - We present an algorithm for generating procedural displacement maps for wrinkle patterns measured from photographs or scans. These displacement maps can contain wrinkle patterns that appear at the meso- and microscale, and are modeled using several spatially varying parameters such as the size, shape and distribution of each individual skin wrinkle. We present an algorithm to measure the parameters of skin wrinkle patterns, and show how to adapt the measured parameters to generate displacement maps with similar properties for 3D models other than the one measured. Lastly, we evaluate the quality of the generated maps by comparing them to maps acquired by scanning human skin.

AB - We present an algorithm for generating procedural displacement maps for wrinkle patterns measured from photographs or scans. These displacement maps can contain wrinkle patterns that appear at the meso- and microscale, and are modeled using several spatially varying parameters such as the size, shape and distribution of each individual skin wrinkle. We present an algorithm to measure the parameters of skin wrinkle patterns, and show how to adapt the measured parameters to generate displacement maps with similar properties for 3D models other than the one measured. Lastly, we evaluate the quality of the generated maps by comparing them to maps acquired by scanning human skin.

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DO - 10.1109/SIBGRAPI.2018.00034

M3 - Conference contribution

BT - Proceedings of the Brazilian Symposium on Computer Graphics and Image Processing

PB - IEEE

ER -

Example-based Skin Wrinkle Displacement Maps

Abstract

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