The Experts below are selected from a list of 151398 Experts worldwide ranked by ideXlab platform
Karan Singh - One of the best experts on this subject based on the ideXlab platform.
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a system for efficient 3d printed stop motion face Animation
ACM Transactions on Graphics, 2020Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and we compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
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A system for efficient 3D printed stop-motion face Animation.
arXiv: Graphics, 2019Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
Rinat Abdrashitov - One of the best experts on this subject based on the ideXlab platform.
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a system for efficient 3d printed stop motion face Animation
ACM Transactions on Graphics, 2020Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and we compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
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A system for efficient 3D printed stop-motion face Animation.
arXiv: Graphics, 2019Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
Alec Jacobson - One of the best experts on this subject based on the ideXlab platform.
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a system for efficient 3d printed stop motion face Animation
ACM Transactions on Graphics, 2020Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and we compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
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A system for efficient 3D printed stop-motion face Animation.
arXiv: Graphics, 2019Co-Authors: Rinat Abdrashitov, Alec Jacobson, Karan SinghAbstract:Computer Animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion Animation. As 3D printing every frame of a computer Animation is prohibitively slow and expensive, 3D printed stop-motion can only be viable if Animations can be faithfully reproduced using a compact library of 3D printed and efficiently assemblable parts. We thus present the first system for processing computer Animation sequences (typically faces) to produce an optimal set of replacement parts for use in 3D printed stop-motion Animation. Given an input Animation sequence of topology invariant deforming meshes, our problem is to output a library of replacement parts and per-Animation-frame assignment of the parts, such that we maximally approximate the input Animation, while minimizing the amount of 3D printing and assembly. Inspired by current stop-motion workflows, a user manually indicates which parts of the model are preferred for segmentation; then, we find curves with minimal deformation along which to segment the mesh. We then present a novel algorithm to zero out deformations along the segment boundaries, so that replacement sets for each part can be interchangeably and seamlessly assembled together. The part boundaries are designed to ease 3D printing and instrumentation for assembly. Each part is then independently optimized using a graph-cut technique to find a set of replacements, whose size can be user defined, or automatically computed to adhere to a printing budget or allowed deviation from the original Animation. Our evaluation is threefold: we show results on a variety of facial Animations, both digital and 3D printed, critiqued by a professional animator; we show the impact of various algorithmic parameters; and compare our results to naive solutions. Our approach can reduce the printing time and cost significantly for stop-motion animated films.
Jason Lestina - One of the best experts on this subject based on the ideXlab platform.
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a non expert user interface for posing signing avatars
Disability and Rehabilitation: Assistive Technology, 2013Co-Authors: Nicoletta Adamovillani, Voicu Popescu, Jason LestinaAbstract:We describe a graphical user interface designed to allow non-expert users to pose 3D characters to create American Sign Language (ASL) computer Animation. The interface is an important component of a software system that allows educators of the Deaf to add sign language translation, in the form of 3D character Animations, to digital learning materials, thus making them accessible to deaf learners. A study indicates that users with no computer Animation expertize can create animated ASL signs quickly and accurately.
Nicoletta Adamovillani - One of the best experts on this subject based on the ideXlab platform.
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a non expert user interface for posing signing avatars
Disability and Rehabilitation: Assistive Technology, 2013Co-Authors: Nicoletta Adamovillani, Voicu Popescu, Jason LestinaAbstract:We describe a graphical user interface designed to allow non-expert users to pose 3D characters to create American Sign Language (ASL) computer Animation. The interface is an important component of a software system that allows educators of the Deaf to add sign language translation, in the form of 3D character Animations, to digital learning materials, thus making them accessible to deaf learners. A study indicates that users with no computer Animation expertize can create animated ASL signs quickly and accurately.
