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2020 International Conference on 3D Vision (3DV) by Xu, Xianghao (author);Charatan, David (author);Raychaudhuri, Sonia (author);Jiang, Hanxiao (author);Heitmann, Mae (author);Kim, Vladimir (author);Chaudhuri, Siddhartha (author);Savva, Manolis (author);Chang, Angel X. (author);Ritchie, Daniel (author) is a nonfiction available to read on EtoBox.

What is 2020 International Conference on 3D Vision (3DV) about?

3D models of real-world objects are essential for many applications, including the creation of virtual environments for AI training. To mimic real-world objects in these applications, objects must be annotated with their kinematic mobilities. Annotating kinematic motions is time-consuming, and it is not well-suited to typical crowdsourcing workflows due to the significant domain expertise required. In this paper, we present a system that helps individual expert users rapidly annotate kinematic motions in large 3D shape collections. The organizing concept of our system is motion annotation programs: simple, re-usable procedural rules that generate motion for a given input shape. Our interactive system allows users to author these rules and quickly apply them to collections of functionally-related objects. Using our system, an expert annotated over 1000 joints in under 3 hours. In a user study, participants with no prior experience with our system were able to annotate motions 1.5x faster than with a baseline manual annotation tool.

Who reads 2020 International Conference on 3D Vision (3DV)?

Author

Xu, Xianghao (author);Charatan, David (author);Raychaudhuri, Sonia (author);Jiang, Hanxiao (author);Heitmann, Mae (author);Kim, Vladimir (author);Chaudhuri, Siddhartha (author);Savva, Manolis (author);Chang, Angel X. (author);Ritchie, Daniel (author)

Publisher

IEEE

Published

2020

Language

EN

Category

nonfiction