3D modeling using hierarchical feature point and spatio-temporal relationship

Ho-Keun Lee; Sun-Kyu Kwon; Hee-Soo Kim; Yeong-Ho Ha

doi:10.1117/12.411860

29 December 2000 3D modeling using hierarchical feature point and spatio-temporal relationship

Ho-Keun Lee, Sun-Kyu Kwon, Hee-Soo Kim, Yeong-Ho Ha

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411860
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper proposes a new 3D modeling technique based on feature points using spatio-temporal relationship. Normally, the generation of a 3D model from a real scene requires the computation of the depth of the model vertices from a dense correspondence map of the whole image. This is very time consuming, plus it is also quite difficult to achieve an accurate depth. The proposed method can generate a 3D model of an object based on identifying the correspondence of certain feature points without the need for a dense correspondence map. The proposed method consists of three parts: the extraction of an object, the extraction of feature points, and hierarchical 3D modeling using the classified feature points. This method is effective in generating a 3D model and expressing the smoothness of plain regions and sharpness of edges.

Citation Download Citation

Ho-Keun Lee, Sun-Kyu Kwon, Hee-Soo Kim, and Yeong-Ho Ha "3D modeling using hierarchical feature point and spatio-temporal relationship", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411860

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