Surface Reconstruction with Data-driven Exemplar Priors

Autor: Jun Wang, Oussama Remil, Kai Xu, Qian Xie, Xingyu Xie
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Computational Geometry (cs.CG)
FOS: Computer and information sciences
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Point cloud
02 engineering and technology
Machine learning
computer.software_genre
Industrial and Manufacturing Engineering
Data-driven
Computer Science - Graphics
Prior probability
0202 electrical engineering
electronic engineering
information engineering
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Class (computer programming)
business.industry
020207 software engineering
Pattern recognition
3d shapes
Computer Graphics and Computer-Aided Design
Graphics (cs.GR)
Computer Science Applications
Parametric model
Affinity propagation
Computer Science - Computational Geometry
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Surface reconstruction
Popis: In this paper, we propose a framework to reconstruct 3D models from raw scanned points by learning the prior knowledge of a specific class of objects. Unlike previous work that heuristically specifies particular regularities and defines parametric models, our shape priors are learned directly from existing 3D models under a framework based on affinity propagation. Given a database of 3D models within the same class of objects, we build a comprehensive library of 3D local shape priors. We then formulate the problem to select as-few-as-possible priors from the library, referred to as exemplar priors. These priors are sufficient to represent the 3D shapes of the whole class of objects from where they are generated. By manipulating these priors, we are able to reconstruct geometrically faithful models with the same class of objects from raw point clouds. Our framework can be easily generalized to reconstruct various categories of 3D objects that have more geometrically or topologically complex structures. Comprehensive experiments exhibit the power of our exemplar priors for gracefully solving several problems in 3D shape reconstruction such as preserving sharp features, recovering fine details and so on.
13 pages, 15 figures, 1 table, Preprint submitted to CAD
Databáze: OpenAIRE
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