The Experts below are selected from a list of 90207 Experts worldwide ranked by ideXlab platform
James Mccann - One of the best experts on this subject based on the ideXlab platform.
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Automatic Machine knitting of 3d meshes
International Conference on Computer Graphics and Interactive Techniques, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting Machine.
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Automatic Machine knitting of 3d meshes
ACM Transactions on Graphics, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting Machine. Knitting Machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with Machine constraints. We demonstrate our approach on a wide range of 3D meshes.
Vidya Narayanan - One of the best experts on this subject based on the ideXlab platform.
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Automatic Machine knitting of 3d meshes
International Conference on Computer Graphics and Interactive Techniques, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting Machine.
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Automatic Machine knitting of 3d meshes
ACM Transactions on Graphics, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting Machine. Knitting Machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with Machine constraints. We demonstrate our approach on a wide range of 3D meshes.
Stelian Coros - One of the best experts on this subject based on the ideXlab platform.
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Automatic Machine knitting of 3d meshes
International Conference on Computer Graphics and Interactive Techniques, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting Machine.
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Automatic Machine knitting of 3d meshes
ACM Transactions on Graphics, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting Machine. Knitting Machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with Machine constraints. We demonstrate our approach on a wide range of 3D meshes.
Lea Albaugh - One of the best experts on this subject based on the ideXlab platform.
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Automatic Machine knitting of 3d meshes
International Conference on Computer Graphics and Interactive Techniques, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting Machine.
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Automatic Machine knitting of 3d meshes
ACM Transactions on Graphics, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting Machine. Knitting Machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with Machine constraints. We demonstrate our approach on a wide range of 3D meshes.
Jessica K. Hodgins - One of the best experts on this subject based on the ideXlab platform.
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Automatic Machine knitting of 3d meshes
International Conference on Computer Graphics and Interactive Techniques, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, into instructions for a computer-controlled knitting Machine.
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Automatic Machine knitting of 3d meshes
ACM Transactions on Graphics, 2018Co-Authors: Vidya Narayanan, Lea Albaugh, Stelian Coros, Jessica K. Hodgins, James MccannAbstract:We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting Machine. Knitting Machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with Machine constraints. We demonstrate our approach on a wide range of 3D meshes.
