Linear blend skinning weight optimization utilizing skeletal pose sampling

    公开(公告)号:US10061871B2

    公开(公告)日:2018-08-28

    申请号:US14809458

    申请日:2015-07-27

    Abstract: A novel and useful mechanism for the skinning of 3D meshes with reference to a skeleton utilizing statistical weight optimization techniques. The mechanism comprises (1) an efficient high quality linear blend skinning (LBS) technique based on a set of skeleton deformations sampled from the manipulation space; (2) a joint placement algorithm to optimize the input skeleton; and (3) a set of tools for a user to interactively control the skinning process. Statistical skinning weight maps are computed using an as-rigid-as-possible (ARAP) optimization. The method operates with a coarsely placed initial skeleton and optimizes joint placements to improve the skeleton's alignment. Bones may also be parameterized incorporating twists, bends, stretches and spines. Several tools add additional constraints to resolve ambiguous situations and interactive feedback aids users.

    Skeletal joint optimization for linear blend skinning deformations utilizing skeletal pose sampling

    公开(公告)号:US09928663B2

    公开(公告)日:2018-03-27

    申请号:US14809519

    申请日:2015-07-27

    Abstract: A novel and useful mechanism for the skinning of 3D meshes with reference to a skeleton utilizing statistical weight optimization techniques. The mechanism of the present invention comprises (1) an efficient high quality linear blend skinning (LBS) technique based on a set of skeleton deformations sampled from the manipulation space; (2) a joint placement algorithm to optimize the input skeleton; and (3) a set of tools for a user to interactively control the skinning process. Statistical skinning weight maps are computed using an as-rigid-as-possible (ARAP) optimization. The method operates with a coarsely placed initial skeleton and optimizes joint placements to improve the skeleton's alignment. Bones may also be parameterized incorporating twists, bends, stretches and spines. Several easy to use tools add additional constraints to resolve ambiguous situations when needed and interactive feedback is provided to aid users. Quality weight maps are generated for challenging deformations and various data types (e.g., triangle, tetrahedral meshes), including noisy, complex and topologically challenging examples (e.g., missing triangles, open boundaries, self-intersections, or wire edges).

    Skeletal Joint Optimization For Linear Blend Skinning Deformations Utilizing Skeletal Pose Sampling
    3.
    发明申请
    Skeletal Joint Optimization For Linear Blend Skinning Deformations Utilizing Skeletal Pose Sampling 有权
    骨骼关节优化用于使用骨骼姿势取样的线性混合剥皮变形

    公开(公告)号:US20170032579A1

    公开(公告)日:2017-02-02

    申请号:US14809519

    申请日:2015-07-27

    Abstract: A novel and useful mechanism for the skinning of 3D meshes with reference to a skeleton utilizing statistical weight optimization techniques. The mechanism of the present invention comprises (1) an efficient high quality linear blend skinning (LBS) technique based on a set of skeleton deformations sampled from the manipulation space; (2) a joint placement algorithm to optimize the input skeleton; and (3) a set of tools for a user to interactively control the skinning process. Statistical skinning weight maps are computed using an as-rigid-as-possible (ARAP) optimization. The method operates with a coarsely placed initial skeleton and optimizes joint placements to improve the skeleton's alignment. Bones may also be parameterized incorporating twists, bends, stretches and spines. Several easy to use tools add additional constraints to resolve ambiguous situations when needed and interactive feedback is provided to aid users. Quality weight maps are generated for challenging deformations and various data types (e.g., triangle, tetrahedral meshes), including noisy, complex and topologically challenging examples (e.g., missing triangles, open boundaries, self-intersections, or wire edges).

    Abstract translation: 参考使用统计权重优化技术的骨架,用于3D网格的剥皮的新颖有用的机制。 本发明的机构包括:(1)基于从操作空间采样的一组骨架变形的有效的高质量线性混合蒙皮(LBS)技术; (2)优化输入骨架的联合放置算法; 和(3)用于用户交互地控制剥皮过程的一组工具。 使用尽可能刚性(ARAP)优化计算统计皮肤重量图。 该方法以粗略放置的初始骨架操作,并优化联合放置以改善骨架的对齐。 骨骼也可以参数化,包括扭曲,弯曲,拉伸和刺。 几个易于使用的工具增加了额外的约束,以便在需要时解决模糊的情况,并提供交互式反馈来帮助用户。 生成质量权重图,用于具有挑战性的变形和各种数据类型(例如,三角形,四面体网格),包括有噪声,复杂和拓扑上具有挑战性的示例(例如,缺失的三角形,开放边界,自相交或线边)。

    Linear Blend Skinning Weight Optimization Utilizing Skeletal Pose Sampling
    4.
    发明申请
    Linear Blend Skinning Weight Optimization Utilizing Skeletal Pose Sampling 审中-公开
    线性混合剥皮重量优化利用骨骼姿势取样

    公开(公告)号:US20170032055A1

    公开(公告)日:2017-02-02

    申请号:US14809458

    申请日:2015-07-27

    Abstract: A novel and useful mechanism for the skinning of 3D meshes with reference to a skeleton utilizing statistical weight optimization techniques. The mechanism of the present invention comprises (1) an efficient high quality linear blend skinning (LB S) technique based on a set of skeleton deformations sampled from the manipulation space; (2) a joint placement algorithm to optimize the input skeleton; and (3) a set of tools for a user to interactively control the skinning process. Statistical skinning weight maps are computed using an as-rigid-as-possible (ARAP) optimization. The method operates with a coarsely placed initial skeleton and optimizes joint placements to improve the skeleton's alignment. Bones may also be parameterized incorporating twists, bends, stretches and spines. Several easy to use tools add additional constraints to resolve ambiguous situations when needed and interactive feedback is provided to aid users. Quality weight maps are generated for challenging deformations and various data types (e.g., triangle, tetrahedral meshes), including noisy, complex and topologically challenging examples (e.g., missing triangles, open boundaries, self-intersections, or wire edges).

    Abstract translation: 参考使用统计权重优化技术的骨架,用于3D网格的剥皮的新颖有用的机制。 本发明的机构包括:(1)基于从操作空间采样的一组骨架变形的有效的高质量线性混合蒙皮(LB S)技术; (2)优化输入骨架的联合放置算法; 和(3)用于用户交互地控制剥皮过程的一组工具。 使用尽可能刚性(ARAP)优化计算统计皮肤重量图。 该方法以粗略放置的初始骨架操作,并优化联合放置以改善骨架的对齐。 骨骼也可以参数化,包括扭曲,弯曲,拉伸和刺。 几个易于使用的工具增加了额外的约束,以便在需要时解决模糊的情况,并提供交互式反馈来帮助用户。 生成质量权重图,用于具有挑战性的变形和各种数据类型(例如,三角形,四面体网格),包括有噪声,复杂和拓扑上具有挑战性的示例(例如,缺失的三角形,开放边界,自相交或线边)。

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