Hierarchical 3D surface reconstruction approach

Yong Liu; Chengke Wu

doi:10.1117/12.364093

23 September 1999 Hierarchical 3D surface reconstruction approach

Yong Liu, Chengke Wu

Proceedings Volume 3811, Vision Geometry VIII; (1999) https://doi.org/10.1117/12.364093
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

3D surface reconstruction is a key problem in computer vision. To obtain the 3D surface reconstruction of an object from its 2D image sequence one needs to get dense matching between these images. However the pixels constituting the 2D images have an unequal importance. When people watching a scene, his eyes will been firstly focused on the outlines of the object and then on its details, a fact corresponding with the characteristic of human vision. So, it is reasonable to introduce a coarse-to-fine strategy to 3D surface reconstruction. In this paper we propose a hierarchical approach. Based on Wavelet transformation of the 2D images, we can get the dense matching in different levels. As a result, we can get 3D surface reconstruction with various approximation qualities. Experiments with real images show that our algorithm is feasible.

Citation Download Citation

Yong Liu and Chengke Wu "Hierarchical 3D surface reconstruction approach", Proc. SPIE 3811, Vision Geometry VIII, (23 September 1999); https://doi.org/10.1117/12.364093

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