Depth Measurement by the Multi-Focus Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ACM SIGGRAPH 2005 Papers
Coded exposure photography: motion deblurring using fluttered shutter
ACM SIGGRAPH 2006 Papers
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Programmable aperture photography: multiplexed light field acquisition
ACM SIGGRAPH 2008 papers
Extracting depth and matte using a color-filtered aperture
ACM SIGGRAPH Asia 2008 papers
4D frequency analysis of computational cameras for depth of field extension
ACM SIGGRAPH 2009 papers
Analyzing depth from coded aperture sets
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Programmable aperture camera using LCoS
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Spatio-angular resolution tradeoffs in integral photography
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Hi-index | 0.00 |
We present a coded-aperture method based on a family of masks obtained as the convolution of one “hole” with a structural component consisting of an arrangement of Dirac delta functions. We call the arrangement of delta functions the structural component of the mask, and use it to efficiently encode scene distance information. We illustrate the potential of our approach by analyzing a family of masks defined by a circular hole component and a structural component consisting of a linear combination of three Dirac deltas. We show that the structural component transitions from well conditioned to ill conditioned as the relative weight of the central peak varies with respect to the lateral ones. For the well-conditioned structural components, deconvolution is efficiently performed by inverse filtering, allowing for fast estimation of scene depth. We demonstrate the effectiveness of our approach by constructing a mask for distance coding and using it to recover pairs of distance maps and structurally-deconvolved images from single photographs. For this application, we obtain significant speedup, and extended range and depth resolution compared to previous techniques. © 2012 Wiley Periodicals, Inc.