Title :
Automatic depth map generation from a single image using segment-adaptive depth merging
Author :
Sung In Cho ; Kyoungrok Cho ; Young Hwan Kim
Author_Institution :
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
Abstract :
This paper proposes an advanced approach to learning-based depth map generation for automatic 2D-to-3D conversion, which utilizes 3D histogram-based segmentation for a segment-adaptive depth merging. By using a segment-adaptive depth merging, the proposed method successfully enhances the accuracy of the conventional learning-based depth map generation.
Keywords :
image segmentation; three-dimensional displays; 3D histogram-based segmentation; automatic 2D-to-3D conversion; automatic depth map generation; learning-based depth map generation; segment-adaptive depth merging; single image; Benchmark testing; Estimation; Filtering; Image color analysis; Image segmentation; Merging; Three-dimensional displays;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066559