Joint representation of primitive and non-primitive objects for 3D vision
Sommer C, Cremers D (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 160-169
Conference Proceedings Title: Proceedings - 2018 International Conference on 3D Vision, 3DV 2018
Event location: Verona, ITA
ISBN: 9781538684252
Abstract
The use of structural information in 3D scanning is becoming more and more popular. However, most approaches exploit this structural information either in the form of geometric primitives (mostly planes) or known rigid bodies, but not both. We overcome this limitation and propose an object representation that combines primitive and non-primitive objects using one unified formulation that is based on signed distance fields. Object pose manifolds are introduced to represent the rigid movement of primitives and non-primitives in a natural way. We show that different components of volumetric scanning, such as global trajectory optimization or geometry completion and denoising, benefit from our formulation.
Involved external institutions
Germany (DE)How to cite
APA:
Sommer, C., & Cremers, D. (2018). Joint representation of primitive and non-primitive objects for 3D vision. In Proceedings - 2018 International Conference on 3D Vision, 3DV 2018 (pp. 160-169). Verona, ITA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Sommer, Christiane, and Daniel Cremers. "Joint representation of primitive and non-primitive objects for 3D vision." Proceedings of the 6th International Conference on 3D Vision, 3DV 2018, Verona, ITA Institute of Electrical and Electronics Engineers Inc., 2018. 160-169.
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