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ConeTilt and the Future of VR Hardware
22 Dec 2020

ConeTilt and the Future of VR Hardware

by SIGGRAPH Conferences | posted in: Conferences, Research, Technical Papers | 0

Go behind the research of SIGGRAPH 2020’s “Towards Occlusion-aware Multifocal Displays”, which introduces a novel ConeTilt method for VR display.

Carnegie Mellon University, ConeTilt, Displays, Hardware, Occlusion, Research, SIGGRAPH 2020, SIGGRAPH 2021, Technical Papers, Technion, Virtual Reality, VR
Put Your Best Foot Forward: Meet the 2020 Graduate Student Research Competition Winner
13 Oct 2020

Put Your Best Foot Forward: Meet the 2020 Graduate Student Research Competition Winner

by SIGGRAPH Conferences | posted in: Conferences, Research | 0

Dorian Chan shares how he developed “Bound-constrained Optimized Dynamic Range Compression,” the winning graduate project at the 2020 ACM Student Research Competition.

ACM Student Research Competition, Carnegie Mellon University, Displays, Dorian Chan, Graduate Student Research Competition, Posters, SIGGRAPH 2020
The Big Picture: Translating Complex Math Into Easy-to-understand Graphics
9 Jun 2020

The Big Picture: Translating Complex Math Into Easy-to-understand Graphics

by SIGGRAPH Conferences | posted in: Conferences, Research, Technical Papers | 0

A team of computer scientists from Carnegie Mellon University (CMU) has developed a new tool to tackle this problem and is sharing it at SIGGRAPH 2020.

Carnegie Mellon University, Katherine Ye, Keenan Crane, Penrose, Research, SIGGRAPH 2020, Technical Papers
Building a More Intuitive Interface for Machine Knitting
19 Nov 2019

Building a More Intuitive Interface for Machine Knitting

by SIGGRAPH Conferences | posted in: Conferences, Design, Programming & Scripting, Research | 0

The researchers behind SIGGRAPH 2019 Technical Paper “Visual Knitting Machine Programming” share details of the project.

3D printing, Call for Papers, Call for Submissions, Carnegie Mellon University, Knitting, Machine Knitting, Programming, Research, SIGGRAPH 2019, SIGGRAPH 2020, Technical Papers, University of Utah

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