Knowledge-based extraction of control skeletons for animation

Delias, F.; Moccozet, Laurent; Magnenat‐Thalmann, Nadia; Mortara, Michela; Patanè, Giuseppe; Spagnuolo, Michela; Falcidieno, Bianca

doi:10.1109/smi.2007.24

Cited by 7 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because computer animation uses animation software [7][8] and speeds up the performance [13]. If a small mistake is found in traditional amount the animation is required to repeat from start, instead of deleting and correcting mistake so again the same work can be done, so there is time consuming in traditional animation.…”

Section: Literature Surveymentioning

confidence: 99%

3D Animation: Don't Drink and Drive

Ahmed¹,

Janghel²

2015

IJUNESST

View full text Add to dashboard Cite

AimAim of this paper is "Do not drive after drinking". 3D animation is developed by showing how a human model meets with an accident after consuming alcohol. So, this animation will be helpful in displaying the aim of the paper. MotivationAfter seeing and reading many accident stories on television and newspaper, a need of motivating people about the accidents taking place after drinking and also meeting accident with innocent people, results in the loss of human lives. As a result, this animation try to motivate people not to drive after drinking.

show abstract

Section: Literature Surveymentioning

confidence: 99%

3D Animation: Don't Drink and Drive

Ahmed¹,

Janghel²

2015

IJUNESST

View full text Add to dashboard Cite

show abstract

“…By not constraining themselves to models of humans, they may suffice for the manual creation of animations but lack the one-to-one correspondence of skeleton joints to real human joints. This has been addressed in (Dellas et al, 2007) which constrains the processed models to humans and can, therefore, utilize both the semantics of the individual skeleton joints and the knowledge about the human body. They first segment the mesh into semantic parts (like head, limbs, etc.…”

Section: Related Workmentioning

confidence: 99%

“…3c). A similar approach can be found in (Dellas et al, 2007) to extract a simple 3-segment spine, but we will take this idea further to extract the complete set of spinal joints.…”

Section: Positioning Of Spinal Jointsmentioning

confidence: 99%

“…The knee and elbow joint can be found in a similar way as the points on the middle parts of their respective limbs' centroid curves, that produce the smallest knee and elbow angles. If this joint position produces a very obtuse angle we instead take the point producing the optimal upper to lower limb ratio proposed in (Dellas et al, 2007) and search for a point with a slice of minimal perimeter in its vicinity ( fig. 4a).…”

Section: Segmentation and Fitting Of The Limbsmentioning

confidence: 99%

See 1 more Smart Citation

Anatomically Correct Adaption of Kinematic Skeletons to Virtual Humans

Rau¹,

Brunnett

2012

Proceedings of the International Conference on Computer Graphics Theory and Applications

View full text Add to dashboard Cite

The adaption of a given kinematic skeleton to a triangular mesh representing the shape of a human is a task still done manually in most animation pipelines. In this work we propose methods for automating this process. By thoroughly analyzing the mesh and utilizing anatomical knowledge, we are able to provide an accurate skeleton alignment, suited for animating the surface of a virtual human based on motion capture data. In contrast to existing work, our methods on the one hand support the anatomically correct adaption of detailed skeletal structures, but on the other hand are robust against the reduction of the mesh's tessellation complexity.

show abstract

“…clustering-based [122,82], and semantics-based [53]. Recently, Schaefer and Yuksel propose a novel method to extract hierarchical, rigid skeletons from example poses [122].…”

Section: Skeleton Extractionmentioning

confidence: 99%

Skeletal character animation from examples

Xiao¹

View full text Add to dashboard Cite

Accesses to 3D character models are becoming more and more handy and affordable through 3D scanning, reconstruction, artistic sculpting, etc. Animating these characters to tell a story opens up many applications in educations, communications, scientific research and entertainments. Current procedure of character animations requires considerable amount of labor and time dedicated by many skilled and talented artists. Exploring potentials in a character shape together with a set of example meshes in varied poses to enhance the animation methodology will definitely help in producing animations efficiently. However, most of those examples are pure geometry meshes and lack sufficient topology and pose information, which are critical in producing faithful animations. Meanwhile many available example meshes are too complex to use directly for animation production and associated computing demands heavy memory and CPU load. To tackle the above problems, in this dissertation, a set of methods is proposed and investigated to facilitate animation by exploring the potentials of example meshes. These methods, as the results demonstrate, provide an effective pipeline for generating faithful, visually pleasing and pose consistent animations. In this dissertation, first, a novel method on skeletonization from examples using harmonic one-forms is proposed. Extracting skeletons from 3D objects is challenging, especially for finding exact centered skeletons. The proposed method is motivated by the observation that many real-world deformations are isometric or near isometric from the global point of view. Compared to existing skeletonization methods, using harmonic oneforms bears no restriction on the connectivity of the input meshes, which is a common situation when a character is digitized in varied poses. Second, a method of pose parameterization of given example meshes is proposed. Pose parameters are suggested in this dissertation as Euler angles and scaling values for skeletal i ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library I'm indebted to my internship mentor John Lewis on the idea of inverse PSD. His guidance in my coding skill and research methods are invaluable to my progress. I also thank Dr. He Ying for his support and guidance in this research, especially his idea and suggestions on skeletonization using harmonic 1-forms and solving the optimal joints in example poses. I also want to thank Prof. Sylvain Brandel from who I learned great programming style. Deep thanks also go to Dr.

show abstract

Knowledge-based extraction of control skeletons for animation

Cited by 7 publications

References 13 publications

3D Animation: Don't Drink and Drive

3D Animation: Don't Drink and Drive

Anatomically Correct Adaption of Kinematic Skeletons to Virtual Humans

Skeletal character animation from examples

Contact Info

Product

Resources

About