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Soft 3D reconstruction for view synthesis
- Source :
- ACM Transactions on Graphics. 36:1-11
- Publication Year :
- 2017
- Publisher :
- Association for Computing Machinery (ACM), 2017.
-
Abstract
- We present a novel algorithm for view synthesis that utilizes a soft 3D reconstruction to improve quality, continuity and robustness. Our main contribution is the formulation of a soft 3D representation that preserves depth uncertainty through each stage of 3D reconstruction and rendering. We show that this representation is beneficial throughout the view synthesis pipeline. During view synthesis, it provides a soft model of scene geometry that provides continuity across synthesized views and robustness to depth uncertainty. During 3D reconstruction, the same robust estimates of scene visibility can be applied iteratively to improve depth estimation around object edges. Our algorithm is based entirely on O(1) filters, making it conducive to acceleration and it works with structured or unstructured sets of input views. We compare with recent classical and learning-based algorithms on plenoptic lightfields, wide baseline captures, and lightfield videos produced from camera arrays.
- Subjects :
- Computer science
business.industry
3D reconstruction
0202 electrical engineering, electronic engineering, information engineering
020207 software engineering
020201 artificial intelligence & image processing
Computer vision
02 engineering and technology
Artificial intelligence
business
Computer Graphics and Computer-Aided Design
View synthesis
Rendering (computer graphics)
Subjects
Details
- ISSN :
- 15577368 and 07300301
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Graphics
- Accession number :
- edsair.doi...........11c6c7ef33574c6eeecabef78f82f467