Journal ArticleDOI
Realistic hair modeling from a hybrid orientation field
Yongtang Bao,Yue Qi +1 more
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TLDR
This paper proposes a novel approach to construct a realistic 3D hair model from a hybrid orientation field and demonstrates that this approach can preserve structural details of 3Dhair models.Abstract:
Image-based hair modeling methods enable artists to produce abundant 3D hair models. However, the reconstructed hair models could not preserve the structural details, such as uniformly distributed hair roots, interior strands growing in line with real distribution and exterior strands similar to images. In this paper, we propose a novel approach to construct a realistic 3D hair model from a hybrid orientation field. Our hybrid orientation field is generated from four fields. The first field makes the surface structure of a hairstyle be similar to the input images as much as possible. The second field makes the hair roots and interior hair strands be consistent with actual distribution. The tracing hair strands can be confined to the hair volume according to the third field. And the fourth field makes the growing direction of one point at a strand be compatible with its predecessor. To generate these fields, we construct high-confidence 3D strand segments from the orientation field of point cloud and 2D traced strands. Hair strands automatically grow from uniformly distributed hair roots according to the hybrid orientation field. We use energy minimization strategy to optimize the entire 3D hair model. We demonstrate that our approach can preserve structural details of 3D hair models.read more
Citations
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Journal ArticleDOI
A Survey of Image-Based Techniques for Hair Modeling
Yongtang Bao,Yue Qi +1 more
TL;DR: This paper surveys the state of the art in the major topics of image-based techniques for hair modeling, including single-viewhair modeling, static hair modeling from multiple images, video-based dynamic hair modeled, and the editing and reusing of hair modeling results.
Journal ArticleDOI
Artemis: Articulated Neural Pets with Appearance and Motion synthesis
Haimin Luo,Teng Xu,Yuheng Jiang,Chenglin Zhou,Qiwei Qiu,Yingliang Zhang,Wei Yang,Lan Xu,Jingyi Yu +8 more
TL;DR: The core of ARTEMIS is a neural-generated (NGI) animal engine, which adopts an efficient octree-based representation for animal animation and fur rendering, and introduces an effective opti- mization scheme to reconstruct the skeletal motion of real animals captured by a multi-view RGB and Vicon camera array.
Journal Article
“Physically-Accurate Fur Reflectance: Modeling, Measurement and Rendering”の実装報告
Journal ArticleDOI
An Image-Based Hair Modeling and Dynamic Simulation Method
Yongtang Bao,Yue Qi +1 more
TL;DR: This paper proposes a novel approach to convert hair geometry model into helices, which could be easily plugged into dynamic hair simulation, and can be applied to simulate various hair geometries.
Proceedings ArticleDOI
An adaptive floating tangents fitting with helices method for image-based hair modeling
Yongtang Bao,Yue Qi +1 more
TL;DR: This paper proposes a novel approach to convert hair geometry model into helices, which could be easily plugged into dynamic hair simulation, and shows that this approach can preserve structural details of 3D hair models, and be applied to simulate various hair geometries.
References
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Accurate, Dense, and Robust Multiview Stereopsis
Yasutaka Furukawa,Jean Ponce +1 more
TL;DR: A novel algorithm for multiview stereopsis that outputs a dense set of small rectangular patches covering the surfaces visible in the images, which outperforms all others submitted so far for four out of the six data sets.
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Shape distributions
TL;DR: The dissimilarities between sampled distributions of simple shape functions provide a robust method for discriminating between classes of objects in a moderately sized database, despite the presence of arbitrary translations, rotations, scales, mirrors, tessellations, simplifications, and model degeneracies.
Journal ArticleDOI
The approximation power of moving least-squares
TL;DR: The interpolation approximation in R d is shown to be a C∞ function, and an approximation order result is proven for quasi-uniform sets of data points.
Journal ArticleDOI
A literature survey on smart cities
TL;DR: The origin and main issues facing the smart city concept are introduced, and the fundamentals of a smart city by analyzing its definition and application domains are presented.
Journal ArticleDOI
Super-helices for predicting the dynamics of natural hair
Florence Bertails,Basile Audoly,Marie-Paule Cani,Bernard Querleux,Frederic Leroy,Jean-Luc Leveque +5 more
TL;DR: This paper shows that the Kirchhoff equations for dynamic, inextensible elastic rods can be used for accurately predicting hair motion, and introduces a novel deformable model for solving them: each strand is represented by a Super-Helix, i.e., a piecewise helical rod which is animated using the principles of Lagrangian mechanics.