DocumentCode
639356
Title
Recovering Stereo Pairs from Anaglyphs
Author
Joulin, Armand ; Sing Bing Kang
fYear
2013
fDate
23-28 June 2013
Firstpage
289
Lastpage
296
Abstract
An anaglyph is a single image created by selecting complementary colors from a stereo color pair, the user can perceive depth by viewing it through color-filtered glasses. We propose a technique to reconstruct the original color stereo pair given such an anaglyph. We modified SIFT-Flow and use it to initially match the different color channels across the two views. Our technique then iteratively refines the matches, selects the good matches (which defines the "anchor" colors), and propagates the anchor colors. We use a diffusion-based technique for the color propagation, and added a step to suppress unwanted colors. Results on a variety of inputs demonstrate the robustness of our technique. We also extended our method to anaglyph videos by using optic flow between time frames.
Keywords
image colour analysis; image matching; image motion analysis; image reconstruction; stereo image processing; SIFT-flow; anaglyph videos; anchor color propagation; color-filtered glasses; complementary colors selection; diffusion-based technique; optic flow; original color stereo pair reconstruction; stereo pair recovery; unwanted color suppression; Cameras; Colored noise; Image color analysis; Image reconstruction; Optical imaging; Stereo image processing; 3D; anaglyph; image reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location
Portland, OR
ISSN
1063-6919
Type
conf
DOI
10.1109/CVPR.2013.44
Filename
6618888
Link To Document