Title :
Geometric and texture cue based depth-map estimation for 2D to 3D image conversion
Author :
Han, Kyuseo ; Hong, Kihyun
Abstract :
We present a novel framework for estimating depth-map in a single 2D image. The proposed framework employs both vanishing point and superpixels as geometric and texture cues, respectively. The combination of both cues can generate a feasible perceptual depth-map, which will be applied to 2D to 3D image conversion.
Keywords :
image convertors; image texture; three-dimensional displays; 2D image; 3D image conversion; depth-map estimation; geometric cue; texture cue; Computer vision; Estimation; Geometry; Image segmentation; Semantics; Simulation; Three dimensional displays;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722790
