Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences

Junghoon Jung; TaeYong Kim; Younhui Jang; Jeong-Ho Shin; Joon-Ki Paik

doi:10.1117/12.411801

29 December 2000 Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences

Junghoon Jung, TaeYong Kim, Younhui Jang, Jeong-Ho Shin, Joon-Ki Paik

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411801
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper presents a regularized smoothing algorithm for 3D reconstruction from image sequence. Depth data estimated from a stereo pair or multiple image frames can easily be corrupted by various types of noise such as quantization and imperfect matching. We propose a regularized image restoration algorithm which enhances the surface of depth maps based on spatially adaptive image fusion. We can also enhance the resolution of the surfaces and preserve discontinuities.

Citation Download Citation

Junghoon Jung, TaeYong Kim, Younhui Jang, Jeong-Ho Shin, and Joon-Ki Paik "Fusion-based adaptive regularized smoothing for 3D reconstruction from image sequences", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411801

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