Video completion for indoor scenes

Authors:
Vardhman Jain;P. J. Narayanan
Affiliations:
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India
Venue:
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Year:
2006

Citing 13
Cited 0

Image inpainting

Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
Image quilting for texture synthesis and transfer

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
In defence of the 8-point algorithm

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Texture Synthesis by Non-Parametric Sampling

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
"GrabCut": interactive foreground extraction using iterated graph cuts

ACM SIGGRAPH 2004 Papers
Motion Layer Based Object Removal in Videos

WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Full-Frame Video Stabilization

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Video object cut and paste

ACM SIGGRAPH 2005 Papers
Piecewise Image Registration in the Presence of Multiple Large Motions

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Piecewise planar scene reconstruction from sparse correspondences

Image and Vision Computing
What went where

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Region filling and object removal by exemplar-based image inpainting

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a new approach for object removal and video completion of indoor scenes. In indoor images, the frames are not affine related. The region near the object to be removed can have multiple planes with sharply different motions. Dense motion estimation may fail for such scenes due to missing pixels. We use feature tracking to find dominant motion between two frames. The geometry of the motion of multiple planes is used to segment the motion layers into component planes. The homography corresponding to each hole pixel is used to warp a frame in the future or past for filling it. We show the application of our technique on some typical indoor videos.