A Survey of Image-Based Techniques for Hair Modeling

Bao, Yongtang; Qi, Yue

doi:10.1109/access.2018.2818795

Cited by 18 publications

(4 citation statements)

References 65 publications

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“…Hair modelling as sun protection mean. Hair modelling is an intricate task, since a realistic representation in structure, motion, and appearance is still a purpose of research [29,48]. Moreover, the existing models relate to visible light, without considering UV radiation.…”

Section: Methodsmentioning

confidence: 99%

3D Modelling for Solar Erythemal UV Protection Provided by Human Hair

Religi¹,

Moccozet²

2019

Applied Sciences

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The head is one of the most sun-exposed anatomical zones and its ultraviolet (UV) exposure is often underestimated. The goal of this research is to quantify the solar erythemal UV protection provided by human hair for different orientations and Solar Zenith Angles (SZA). For this purpose, a three-dimensional (3D) numeric simulation tool called SimUVEx was used to forecast the distribution of UV exposure based on geometric information and solar irradiance. The relative UV dose reduction was expressed in terms of predictive protection factor (PPF). Results showed that the effectiveness of the protection depends strongly on the orientation of the head and on the tilt of the hairs. As the SZA increases, the PPF also increases. PPFs provided by hair with a certain degree of order (parallel alignment) were generally higher by a range of about 10%–30% than the ones provided by random arrangements. A significant exposure to the scalp through the hair, even for an average hair density, was found. It confirms that hair is an important natural sunscreen in reducing transmission of UV radiation and must be considered in the prevention messages of skin cancer on the scalp, particularly in people with alopecia.

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Section: Methodsmentioning

confidence: 99%

3D Modelling for Solar Erythemal UV Protection Provided by Human Hair

Religi¹,

Moccozet²

2019

Applied Sciences

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“…Early works in hair modeling start from scratch while recent works focus more on image-based hair reconstruction. We refer readers to [19] and [20] for comprehensive surveys on hair modeling.…”

Section: Related Workmentioning

confidence: 99%

DeepSketchHair: Deep Sketch-Based 3D Hair Modeling

Shen

Zhang

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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We present DeepSketchHair, a deep learning based tool for interactive modeling of 3D hair from 2D sketches. Given a 3D bust model as reference, our sketching system takes as input a user-drawn sketch (consisting of hair contour and a few strokes indicating the hair growing direction within a hair region), and automatically generates a 3D hair model, which matches the input sketch both globally and locally. The key enablers of our system are two carefully designed neural networks, namely, S2ONet, which converts an input sketch to a dense 2D hair orientation field; and O2VNet, which maps the 2D orientation field to a 3D vector field. Our system also supports hair editing with additional sketches in new views. This is enabled by another deep neural network, V2VNet, which updates the 3D vector field with respect to the new sketches. All the three networks are trained with synthetic data generated from a 3D hairstyle database. We demonstrate the effectiveness and expressiveness of our tool using a variety of hairstyles and also compare our method with prior art.Index Terms-Sketch-based hair modeling, 3D volumetric structure, deep learning, generative adversarial networks !

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“…Hair modeling and reconstruction aims to produce lifelike hair for virtual human in game and film production as well as to beautify portraits for hairstyle tryon. Image-based approaches achieve higher quality with less efforts than physical simulation based methods (see [14] and [15] for a comprehensive survey). The core of the problem lies in how to segment the hair component in images.…”

Section: Related Workmentioning

confidence: 99%