DocumentCode
637201
Title
Automatic object-based 2D-to-3D conversion
Author
Hak Gu Kim ; Byung Cheol Song
Author_Institution
Electron. Eng., Inha Univ., Incheon, South Korea
fYear
2013
fDate
10-12 June 2013
Firstpage
1
Lastpage
4
Abstract
This paper presents a new 2D-to-3D conversion method based on structure from motion (SfM) in order to relieve the visual fatigue and simultaneously improve the three-dimensional effect (3D effect). First, we obtain the 3D information such as camera positions and depth values via SfM. Then, we segment an input image, and find the nearest object region. Next, the projective matrix of the nearest object is computed. Finally, the nearest object is warped using the computed projective matrix, and the other regions are properly warped according to their depth values. Experimental results show that the proposed method can synthesize stereo views better than the other methods.
Keywords
image motion analysis; image segmentation; matrix algebra; stereo image processing; three-dimensional television; 3D effect; 3D information; 3DTV; SfM; automatic object-based 2D-to-3D conversion method; camera positions; depth values; input image segmentation; nearest object region; projective matrix; stereo view synthesis; structure from motion; three-dimensional effect; visual fatigue; Cameras; Image segmentation; Sparse matrices; Stereo image processing; Three-dimensional displays; Transmission line matrix methods; Visualization; 2D-to-3D conversion; 3DTV; SfM; image generation; stereo view synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
IVMSP Workshop, 2013 IEEE 11th
Conference_Location
Seoul
Type
conf
DOI
10.1109/IVMSPW.2013.6611904
Filename
6611904
Link To Document