PERF: Performant, Explicit Radiance Fields
| Autor: | Sverker Rasmuson, Erik Sintorn, Ulf Assarsson |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Human-Computer Interaction
FOS: Computer and information sciences Computer Science::Graphics Computer Vision and Pattern Recognition (cs.CV) Computer Science (miscellaneous) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Vision and Pattern Recognition Computer Science Applications ComputingMethodologies_COMPUTERGRAPHICS |
| DOI: | 10.48550/arxiv.2112.05598 |
| Popis: | We present a novel way of approaching image-based 3D reconstruction based on radiance fields. The problem of volumetric reconstruction is formulated as a non-linear least-squares problem and solved explicitly without the use of neural networks. This enables the use of solvers with a higher rate of convergence than what is typically used for neural networks, and fewer iterations are required until convergence. The volume is represented using a grid of voxels, with the scene surrounded by a hierarchy of environment maps. This makes it possible to get clean reconstructions of 360° scenes where the foreground and background is separated. A number of synthetic and real scenes from well-known benchmark-suites are successfully reconstructed with quality on par with state-of-the-art methods, but at significantly reduced reconstruction times. |
| Databáze: | OpenAIRE |
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