Title
Depth Map Estimation using Defocus and Motion Cues
Abstract
Significant recent developments in 3D display technology have focused on techniques for converting 2D media into 3D. Depth map is an integral part of 2D-to-3D conversion. Combining multiple depth cues results in a more accurate depth map as it compensates for the errors caused by one depth cue as well as its absence by other depth cues. In this paper, we present a novel framework to generate a more accurate depth map for video using defocus and motion cues. The moving objects present in the scene are the source of errors in both defocus and motion-based depth map estimation. The proposed method rectifies these errors in the depth map by integrating defocus blur and motion cues. In addition, it also corrects the errors in other parts of depth map caused by inaccurate estimation of defocus blur and motion. Since the proposed integration approach relies on the characteristics of point spread functions of defocus and motion blur along with their relations to camera parameters, it is more accurate and reliable.
Year
DOI
Venue
2019
10.1109/tcsvt.2018.2832086
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
Cameras,Estimation,Image edge detection,Three-dimensional displays,Two dimensional displays,Reliability,Motion segmentation
Computer vision,Motion cues,Pattern recognition,Computer science,Stereo display,Motion blur,Artificial intelligence,Depth perception,Depth map
Journal
Volume
Issue
ISSN
29
5
1051-8215
Citations 
PageRank 
References 
2
0.36
0
Authors
4
Name
Order
Citations
PageRank
Himanshu Kumar1276.10
Ajeet Singh Yadav220.36
Sumana Gupta34716.36
K. S. Venkatesh4228.37