Animating Human Muscle Structure

Graphical simulations of human muscle motion and deformation are of great interest to medical education. In this article, the authors present a technique for simulating muscle deformations by combining physically and geometrically based computations to reduce computation cost and produce fast, accurate simulations

Anatomy primitives

ARTECH 2021. 10ª Conferência Internacional de Artes Digitais e Interativas, realizada em Aveiro em outubro de 2021.We propose an installation that investigates the notion of the anatomical canon and its conceptual and practical role in the artistic modeling of human anatomy. This installation guides the visitor through the synthesis of a digital canon built from standard 3D primitives. Through a model that can be interactively constructed or deconstructed step-by-step, using simple controls, the visitoris invited to study, and draw, the human surface anatomy and its main features as interpreted through the natural tools of digital modeling.The authors were funded by FCT national funds through project UIDB/Multi/04019/2020.info:eu-repo/semantics/publishedVersio

Canon and process in the 3D modeling of human anatomy

The authors argue that the concept of the anatomical canon is not just an arbitrary standard of anatomical beauty but an indispensable mnemonic tool for the artist. The authors further argue that the canon is most relevant when adapted to a specific artistic process and tools, and in particular must be updated to the requirements of the digital tools of 3D modeling. A proposal of such a canon is discussed, as well as the process of its synthesis from standard 3D primitives and its artistic applications.The authors were funded by FCT national funds through project UIDB/Multi/04019/2020.info:eu-repo/semantics/publishedVersio

Skeleton-aware size variations in digital mannequins

The general trend in character modeling is toward the personalization of models with higher levels of visual realism. This becomes possible with the development of commodity computation resources that are capable of processing massive data in parallel across multiple processors. On the other hand, there is always a trade-off between the quantity of the model features that are simulated and the plausibility of the visual realism because of the limited computation resources. Also, to keep the resources' to be used efficiently within the other modeling approaches such as skin reflectance, aging, animation, etc., one must consider the efficiency of the method being used in the simulation. In this paper, we present an efficient method to customize the size of a human body model to personalize it with industry standard parameters. One of the major contributions of this method is that it is possible to generate a range of different size body models by using anthropometry surveys. This process is not limited by data-driven mesh deformation but also adapts the skeleton and motion to keep the consistency between different body layer

Spreadsheet Framework for Visual Exploration of Biomedical Datasets

In this paper, we present our spreadsheet framework, which uses a spreadsheet-likeinterface for exploring biomedical datasets. The principles and advantages of this classof visualization systems are illustrated, and a case study for the analysis of hip jointcongruity is presented. Throughout this use case, we see how end users can comparedifferent datasets, apply parallel operations on data, create analysis templates, andhow this helps them in the exploration process

Dynamic skin deformation using finite difference solutions for character animation

We present a new skin deformation method to create dynamic skin deformations in this paper. The core elements of our approach are a dynamic deformation model, an efficient data-driven finite difference solution, and a curve-based representation of 3D models. We first reconstruct skin deformation models at different poses from the taken photos of a male human arm movement to achieve real deformed skin shapes. Then, we extract curves from these reconstructed skin deformation models. A new dynamic deformation model is proposed to describe physics of dynamic curve deformations, and its finite difference solution is developed to determine shape changes of the extracted curves. In order to improve visual realism of skin deformations, we employ data-driven methods and introduce skin shapes at the initial and final poses into our proposed dynamic deformation model. Experimental examples and comparisons made in this paper indicate that our proposed dynamic skin deformation technique can create realistic deformed skin shapes efficiently with a small data size

Musculoskeletal simulation model generation from MRI datasets and motion capture data

International audienceToday computer models and computer simulations of the musculoskeletal system are widely used to study the mechanisms behind human gait and its disorders. The common way of creating musculoskeletal models is to use a generic musculoskeletal model based on data derived from anatomical and biomechanical studies of cadaverous specimens. To adapt this generic model to a specific subject, the usual approach is to scale it. This scaling has been reported to introduce several errors because it does not always account for subject-specific anatomical differences. As a result, a novel semi-automatic workflow is proposed that creates subject-specific musculoskeletal models from Magnetic Resonance Imaging (MRI) datasets and motion capture data. Based on subject-specific medical data and a model-based automatic segmentation approach, an accurate modeling of the anatomy can be produced while avoiding the scaling operation. This anatomical model coupled with motion capture data, joint kinematics information and muscle-tendons actuators is finally used to create a subject-specific musculoskeletal model