3D primitive reconstruction using the line segment

Sung-Dong Cho; Tae-Hong Min; Kyung-Hyun Yoon

doi:10.1117/12.477409

25 March 2003 3D primitive reconstruction using the line segment

Sung-Dong Cho, Tae-Hong Min, Kyung-Hyun Yoon

Proceedings Volume 5015, Applications of Artificial Neural Networks in Image Processing VIII; (2003) https://doi.org/10.1117/12.477409
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

This paper presents a 3-D reconstruction method IBM (image based modeling) of an image that does not contain any camera information. This system adopts a 3D reconstruction method based on a model. Model-based 3D reconstruction recovers an image using the geometric characteristics of a pre-defined polyhedron model. It uses a pre-defined polyhedron model as the primitive and the 3D reconstruction is processed by mapping the correspondence point of the primitive model onto the picture image. Existing model-based 3D reconstruction methods were used for the reconstruction of camera parameters or error method through iteration. However, we proposed a method for a primitive model that uses the segment and the center of the segment for the reconstruction process. This method enables the reconstruction of the primitive model to be processed using the minimum camera parameters (e.g. focal length) during the segment reconstruction process.

Citation Download Citation

Sung-Dong Cho, Tae-Hong Min, and Kyung-Hyun Yoon "3D primitive reconstruction using the line segment", Proc. SPIE 5015, Applications of Artificial Neural Networks in Image Processing VIII, (25 March 2003); https://doi.org/10.1117/12.477409

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KEYWORDS

3D modeling

Cameras

Image restoration

Image segmentation

Calibration

Image processing

3D image reconstruction

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