Projection defocus using adaptive kernel sampling and geometric correction in dual-planar environments

Shamsuddin N Ladha, Kate Smith-Miles, Sharat Chandran

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)


Defocus blur correction for projectors using a camera is useful when the projector is used in ad hoc environments. However, past literature has not explicitly considered the common situation when the projection surface includes a corner made up of two planar surfaces that abut each other, such as the ubiquitous office cubicle. In this paper, we advance the state of the art by demonstrating defocus correction in a non-parametric setting. Our method differs from prior methods in that (a) the luminance and chrominance channels are independently considered, and (b) a sparse sampling of the surface is used to discover the spatially varying defocus kernel.
Original languageEnglish
Title of host publicationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2011
EditorsNicolas Pinto
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages9 - 14
Number of pages6
ISBN (Print)9781457705298
Publication statusPublished - 2011
EventInternational Workshop on Projector-Camera Systems (PROCAMS) 2011 - Colorado Springs, United States of America
Duration: 24 Jun 201124 Jun 2011
Conference number: 8th (Workshop website)


WorkshopInternational Workshop on Projector-Camera Systems (PROCAMS) 2011
Abbreviated titlePROCAMS 2011
Country/TerritoryUnited States of America
CityColorado Springs
OtherIn conjunction with CVPR 2011
Internet address

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