A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active, optical range imaging sensors
Machine Vision and Applications
Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of Methods for Determining Depth from Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active vision for reliable ranging: cooperating focus, stereo, and vergence
International Journal of Computer Vision
Computing occluding and transparent motions
International Journal of Computer Vision
Depth from defocus: a spatial domain approach
International Journal of Computer Vision
Image Motion Estimation From Motion Smear-A New Computational Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range estimation by optical differentiation
Range estimation by optical differentiation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Differential Range Estimation Using Optical Masks
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Optimal Selection of Camera Parameters for Recovery of Depth from Defocused Images
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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
A block shift-variant blur model for recovering depth from defocused images
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Range Finder Using Circular Dynamic Stereo
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
The Optimal Axial Interval in Estimating Depth from Defocus
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Separation of Transparent Layers Using Focus
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Depth from Defocus vs. Stereo: How Different Really Are They?
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Multi-valued Images and Their Separation
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Depth Estimation and Image Restoration Using Defocused Stereo Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2006 Papers
An image-based calibration technique of spatial domain depth-from-defocus
Pattern Recognition Letters
On defocus, diffusion and depth estimation
Pattern Recognition Letters
International Journal of Computer Vision
A Stereo Depth Recovery Method Using Layered Representation of the Scene
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Using blur to affect perceived distance and size
ACM Transactions on Graphics (TOG)
Virtual focus and depth estimation from defocused video sequences
IEEE Transactions on Image Processing
Analyzing depth from coded aperture sets
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Uncontrolled modulation imaging
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
International Journal of Computer Vision
Linear-nonlinear neuronal model for shape from shading
Pattern Recognition Letters
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A Combined Theory of Defocused Illumination and Global Light Transport
International Journal of Computer Vision
Scene reconstruction from high spatio-angular resolution light fields
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Iterative feedback estimation of depth and radiance from defocused images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Optimized aperture shapes for depth estimation
Pattern Recognition Letters
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Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and DFD are not different than those of stereo (or motion) based systems having the same physical dimensions. Contrary to common belief, DFD does not inherently avoid the matching (correspondence) problem. Basically, DFD and DFF do not avoid the occlusion problem any more than triangulation techniques, but they are more stable in the presence of such disruptions. The fundamental advantage of DFF and DFD methods is the two-dimensionality of the aperture, allowing more robust estimation. We analyze the effect of noise in different spatial frequencies, and derive the optimal changes of the focus settings in DFD. These results elucidate the limitations of methods based on depth of field and provide a foundation for fair performance comparison between DFF/DFD and shape from stereo (or motion) algorithms.