Title :
Combining high resolution color and depth images for dense 3D reconstruction
Author :
Lasang, Pongsak ; Sheng Mei Shen ; Kumwilaisak, Wuttipong
Author_Institution :
Image Solution Group, Panasonic R&D Center Singapore, Singapore, Singapore
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.
Keywords :
image colour analysis; image reconstruction; image resolution; stereo image processing; 3D distance information; dense 3D model reconstruction; depth camera; depth images; high resolution color; low resolution; Cameras; Color; Image color analysis; Image reconstruction; Image resolution; Solid modeling; Three-dimensional displays; 3D reconstruction; depth camera; multi-view stereo; structurefrom-motion;
Conference_Titel :
Consumer Electronics ??? Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference on
Conference_Location :
Berlin
DOI :
10.1109/ICCE-Berlin.2014.7034292