Progressive 3D shape abstraction via hierarchical CSG tree

Xingyou Chen; Jin Tang; Chenglong Li

doi:10.1117/12.2280270

19 June 2017 Progressive 3D shape abstraction via hierarchical CSG tree

Xingyou Chen, Jin Tang, Chenglong Li

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 1044315 (2017) https://doi.org/10.1117/12.2280270
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

Abstract

A constructive solid geometry(CSG) tree model is proposed to progressively abstract 3D geometric shape of general object from 2D image. Unlike conventional ones, our method applies to general object without the need for massive CAD models, and represents the object shapes in a coarse-to-fine manner that allows users to view temporal shape representations at any time. It stands in a transitional position between 2D image feature and CAD model, benefits from state-of-the-art object detection approaches and better initializes CAD model for finer fitting, estimates 3D shape and pose parameters of object at different levels according to visual perception objective, in a coarse-to-fine manner. Two main contributions are the application of CSG building up procedure into visual perception, and the ability of extending object estimation result into a more flexible and expressive model than 2D/3D primitive shapes. Experimental results demonstrate the feasibility and effectiveness of the proposed approach.

Citation Download Citation

Xingyou Chen, Jin Tang, and Chenglong Li "Progressive 3D shape abstraction via hierarchical CSG tree", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 1044315 (19 June 2017); https://doi.org/10.1117/12.2280270

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