A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth from defocus: a spatial domain approach
International Journal of Computer Vision
International Journal of Computer Vision
Direct Differential Range Estimation Using Optical Masks
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Minimal operator set for passive depth from defocus
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Active Image Capturing and Dynamic Scene Visualization by Cooperative Distributed Vision
AMCP '98 Proceedings of the First International Conference on Advanced Multimedia Content Processing
Split Aperture Imaging for High Dynamic Range
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
An image-based calibration technique of spatial domain depth-from-defocus
Pattern Recognition Letters
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Generalized Laplacian as Focus Measure
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Monocular stereo image processing using viewpoint switching iris
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
International Journal of Computer Vision
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Single-Camera multi-baseline stereo using fish-eye lens and mirrors
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Single image blind deconvolution with higher-order texture statistics
Proceedings of the 2010 international conference on Video Processing and Computational Video
Half-sweep imaging for depth from defocus
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Coding Depth through Mask Structure
Computer Graphics Forum
Perceptually Optimized Coded Apertures for Defocus Deblurring
Computer Graphics Forum
Optimized aperture shapes for depth estimation
Pattern Recognition Letters
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In this paper, we first introduce the multi-focus camera, a new image sensor used for depth from defocus (DFD) range measurement. It can capture three images with different focus values simultaneously. We then propose two different depth measurement methods using the camera. The first method, an augmented version of the one proposed in [3], employs a noniterative optimization process to compute depth values on edge points. The second one incorporates a coded aperture with the camera and applies model-based pattern matching to estimate depth values of textured surfaces. Here we propose two types of coded apertures and corresponding analysis algorithms: 1D Fourier analysis to acquire a depth map and a blur-free image from three defocused images taken with a pair of pinholes, and 2D convolution based model matching for the fast and precise depth measurement using a coded aperture with four pinholes. Experimental results showed that the multi-focus camera works well as a practical DFD range sensor and that the coded apertures much improve its range estimation capability for real world scenes.