Combining high resolution color and depth images for dense 3D reconstruction
Conference proceedings article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Lasang P., Shen S.M., Kumwilaisak W.
Publisher: IEEE Computer Society
Publication year: 2015
Volume number: 2015-February
Issue number: February
Start page: 331
End page: 334
Number of pages: 4
ISSN: 2166-6814
eISSN: 2166-6814
Languages: English-Great Britain (EN-GB)
Abstract
In this paper, we present an effective method to reconstruct a dense 3D model of an object or a scene by combining high resolution color and depth images. Conventionally, multiple views of color images can be used for reconstructing a 3D model of the captured scene. Although the conventional method can give the accuracy of the textured-regions of an object, it lacks density and leaves many holes in the texture-less regions. However, a depth camera is capable to capture 3D distance information even in homogenous regions. Still, it gives low resolution and is unable to provide an accurate result of a detailed object. We thus propose a combined method of utilizing both high resolution color and depth images to obtain a high-quality, accurate and dense 3D model. Compared to the conventional methods, our proposed method produces a much denser and more all-over 3D results. ฉ 2014 IEEE.
Keywords
depth camera, multi-view stereo, structurefrom-motion
Contact Information