Near-invariant blur for depth and 2D motion via time-varying light field analysis
Recently, several camera designs have been proposed for either making defocus blur invariant to scene depth or making motion blur invariant to object motion. The benefit of such invariant capture is that no depth or motion estimation is required to remove the resultant spatially uniform blur. So far...
Main Authors: | Bando, Yosuke (Contributor), Raskar, Ramesh (Contributor), Holtzman, Henry N. (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM),
2013-08-21T18:41:54Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Structured Light Depth Camera Motion Blur Detection and Deblurring
by: HUNG-CHIH LU, et al.
Published: (2015) -
Multi-dimensional polygon-based rendering for motion blur and depth of field
by: Goss, Keith Michael
Published: (1991) -
BiDi screen: a thin, depth-sensing LCD for 3D interaction using light fields
by: Hirsch, Matthew Waggener, et al.
Published: (2011) -
Motion blur invariant for estimating motion parameters of medical ultrasound images
by: Barmak Honarvar Shakibaei Asli, et al.
Published: (2021-07-01) -
Dealing with time varying motion blur in image feature matching
by: Gibb, Andrew
Published: (2018)