Homunculus Warping: Conveying importance using self‐intersection‐free non‐homogeneous mesh deformation

Reinert, Bernhard; Ritschel, Tobias; Seidel, Hans‐Peter

doi:10.1111/j.1467-8659.2012.03209.x

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…Body Surface Approximation Strategy: The number and the locations of the manually sampled points in the body surface calibration step need to be chosen to include the most important self interaction locations on the trunk and the head. The density of the sampled points is higher for the head because human are more sensitive to a small mismatch for this perceptually dense region compared to the trunk [32]. That being said the crude approximation illustrated in Figure 4 left and middle images is sufficient for the range of actions we have explored.…”

Section: Joint Center and Segment Length Estimationmentioning

confidence: 95%

Egocentric Mapping of Body Surface Constraints

Molla

Debarba

Boulic

2018

IEEE Trans. Visual. Comput. Graphics

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The relative location of human body parts often materializes the semantics of on-going actions, intentions and even emotions expressed, or performed, by a human being. However, traditional methods of performance animation fail to correctly and automatically map the semantics of performer postures involving self-body contacts onto characters with different sizes and proportions. Our method proposes an egocentric normalization of the body-part relative distances to preserve the consistency of self contacts for a large variety of human-like target characters. Egocentric coordinates are character independent and encode the whole posture space, i.e., it ensures the continuity of the motion with and without self-contacts. We can transfer classes of complex postures involving multiple interacting limb segments by preserving their spatial order without depending on temporal coherence. The mapping process exploits a low-cost constraint relaxation technique relying on analytic inverse kinematics; thus, we can achieve online performance animation. We demonstrate our approach on a variety of characters and compare it with the state of the art in online retargeting with a user study. Overall, our method performs better than the state of the art, especially when the proportions of the animated character deviate from those of the performer.

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Section: Joint Center and Segment Length Estimationmentioning

confidence: 95%

Egocentric Mapping of Body Surface Constraints

Molla

Debarba

Boulic

2018

IEEE Trans. Visual. Comput. Graphics

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“…A special type of human body deformations was explored by Reinert et al [2012], who proposed a method to create a Homunculus -a human figure where the size of each body part is proportional to an input distribution, e.g., neural density. However, internal anatomical structures are not modeled.…”

Section: Related Workmentioning

confidence: 99%

Computational bodybuilding

2015

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Figure 1: Given an input 3D anatomy template, we propose a system to simulate the effects of muscle, fat, and bone growth. This allows us to create a wide range of human body shapes. AbstractWe propose a method to create a wide range of human body shapes from a single input 3D anatomy template. Our approach is inspired by biological processes responsible for human body growth. In particular, we simulate growth of skeletal muscles and subcutaneous fat using physics-based models which combine growth and elasticity. Together with a tool to edit proportions of the bones, our method allows us to achieve a desired shape of the human body by directly controlling hypertrophy (or atrophy) of every muscle and enlargement of fat tissues. We achieve near-interactive run times by utilizing a special quasi-statics solver (Projective Dynamics) and by crafting a volumetric discretization which results in accurate deformations without an excessive number of degrees of freedom. Our system is intuitive to use and the resulting human body models are ready for simulation using existing physics-based animation methods, because we deform not only the surface, but also the entire volumetric model.

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“…Many generative models have been proposed for creating stylized 3D objects, such as collage art [GSP∗07; TRAS07], manga style [SLHC12], cubic style [LJ19], and neuronal homunculus [RRS12]. However, these methods are tailor‐made for only a specific style.…”

Section: Related Workmentioning

confidence: 99%

Normal‐Driven Spherical Shape Analogies

Liu

Jacobson

2021

Computer Graphics Forum

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This paper introduces a new method to stylize 3D geometry. The key observation is that the surface normal is an effective instrument to capture different geometric styles. Centered around this observation, we cast stylization as a shape analogy problem, where the analogy relationship is defined on the surface normal. This formulation can deform a 3D shape into different styles within a single framework. One can plug‐and‐play different target styles by providing an exemplar shape or an energy‐based style description (e.g., developable surfaces). Our surface stylization methodology enables Normal Captures as a geometric counterpart to material captures (MatCaps) used in rendering, and the prototypical concept of Spherical Shape Analogies as a geometric counterpart to image analogies in image processing.

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Homunculus Warping: Conveying importance using self‐intersection‐free non‐homogeneous mesh deformation

Cited by 7 publications

References 20 publications

Egocentric Mapping of Body Surface Constraints

Egocentric Mapping of Body Surface Constraints

Computational bodybuilding

Normal‐Driven Spherical Shape Analogies

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