An automatic depth map generation for 2D-to-3D conversion
Consumer Electronics（2014）
Abstract
In this paper, we propose an automatic algorithm which generates depth map of 2D image in good quality. The depth map is generated by fusing global depth gradient and local depth refinement. Image classification technique and edge-based depth cue are used to obtain the global depth gradient. In addition, image segmentation method and warm/cool color theory are adopted to generate local depth refinement. The proposed algorithm has advantages of good quality and low complexity. After the depth map is generated, the original 2D image or video can be converted to 3D for showing on stereoscopic display devices.
MoreTranslated text
Key words
edge detection,image classification,image colour analysis,image fusion,image segmentation,stereo image processing,2d images,2d videos,2d-to-3d conversion,3d images,3d videos,automatic depth map generation algorithm,edge-based depth cue,global depth gradient fusion,image classification technique,image segmentation method,local depth refinement fusion,local depth refinement generation,stereoscopic display devices,warm-cool color theory,3d tv,depth map generation,stereo vision,2d to 3d conversion,materials,classification algorithms
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined