Multiresolution analysis of 3D multimodal objects using a 2D quincunx wavelet analysis

Marc F. Toubin; Christophe Dumont; Frederic Truchetet; Mongi A. Abidi

doi:10.1117/12.360307

26 August 1999 Multiresolution analysis of 3D multimodal objects using a 2D quincunx wavelet analysis

Marc F. Toubin, Christophe Dumont, Frederic Truchetet, Mongi A. Abidi

Proceedings Volume 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision; (1999) https://doi.org/10.1117/12.360307
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

A reconstructed scene in virtual reality typically consists of millions of triangles.Data are heterogeneous and consist not only of geometric coordinates but also of multi-modal data. The latter requires more complex calculations and very high-speed graphics. Due to the large amount of data, displaying and analyzing these 3D models require new methods. This paper present an innovative method to analyze multi-model models using a 2D-quincunx wavelet analysis. The algorithm is composed of three processes. First, a set of range images is captured from various viewpoints surrounding the object of interest. In addition, a set of multi-modal images is acquired. Then, a multi-resolution analysis based on the quincunx wavelet transform is performed. The multi- resolution analysis allows extraction of multi-resolution detail areas. These areas of details are projected back onto the surface of the initial model. Detail areas are marked onto the model and constitute another modality. Finally, a mesh simplification is performed to reduce data that are not marked as detail. This approach can be applied to any 3D models containing multi-modal information in order to allow fast rendering and manipulation. This method also allows 3D data de-noising.

Citation Download Citation

Marc F. Toubin, Christophe Dumont, Frederic Truchetet, and Mongi A. Abidi "Multiresolution analysis of 3D multimodal objects using a 2D quincunx wavelet analysis", Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); https://doi.org/10.1117/12.360307

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