NDLI: Defocus deblurring and superresolution for time-of-flight depth cameras

Content Provider	IEEE Xplore Digital Library
Author	Lei Xiao Heide, F. O'Toole, M. Kolb, A. Hullin, M.B. Kutulakos, K. Heidrich, W.
Copyright Year	2015
Description	Author affiliation: Univ. of British Columbia, Vancouver, BC, Canada (Lei Xiao; Heide, F.) \|\| Univ. of Siegen, Siegen, Germany (Kolb, A.) \|\| KAUST, Thuwal, Saudi Arabia (Heidrich, W.) \|\| Univ. of Bonn, Bonn, Germany (Hullin, M.B.) \|\| Univ. of Toronto, Toronto, ON, Canada (O'Toole, M.; Kutulakos, K.)
Abstract	Continuous-wave time-of-flight (ToF) cameras show great promise as low-cost depth image sensors in mobile applications. However, they also suffer from several challenges, including limited illumination intensity, which mandates the use of large numerical aperture lenses, and thus results in a shallow depth of field, making it difficult to capture scenes with large variations in depth. Another shortcoming is the limited spatial resolution of currently available ToF sensors. In this paper we analyze the image formation model for blurred ToF images. By directly working with raw sensor measurements but regularizing the recovered depth and amplitude images, we are able to simultaneously deblur and super-resolve the output of ToF cameras. Our method outperforms existing methods on both synthetic and real datasets. In the future our algorithm should extend easily to cameras that do not follow the cosine model of continuous-wave sensors, as well as to multi-frequency or multi-phase imaging employed in more recent ToF cameras.
Starting Page	2376
Ending Page	2384
File Size	902176
Page Count	9
File Format	PDF
ISSN	10636919
e-ISBN	9781467369640
DOI	10.1109/CVPR.2015.7298851
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Kernel Image resolution Apertures Noise Sensors Frequency modulation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A hybrid camera for motion deblurring and depth map super-resolution

LidarBoost: Depth superresolution for ToF 3D shape scanning

Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring

Fusing Depth from Defocus and Stereo with Coded Apertures

Image/video deblurring using a hybrid camera

Separable Kernel for Image Deblurring

Depth from Combining Defocus and Correspondence Using Light-Field Cameras

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus

Fragmented aperture imaging for motion and defocus deblurring

Defocus deblurring and superresolution for time-of-flight depth cameras

Similar Documents

A hybrid camera for motion deblurring and depth map super-resolution

LidarBoost: Depth superresolution for ToF 3D shape scanning

Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring

Fusing Depth from Defocus and Stereo with Coded Apertures

Image/video deblurring using a hybrid camera

Separable Kernel for Image Deblurring

Depth from Combining Defocus and Correspondence Using Light-Field Cameras

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus

Fragmented aperture imaging for motion and defocus deblurring

Defocus deblurring and superresolution for time-of-flight depth cameras