Depth-based defocus map estimation using off-axis apertures

Real time 3-D estimation using depth from defocus

In the recent times a great amount of interest has been shown in the area of range data acquisition for supporting 3-D scene interpretation. This paper presents an interesting approach to obtain depth information using defocusing techniques. This method involves calculating distance to points in a scene using the relative blurring between two images detected with different focal settings. These...

Depth from Defocus Estimation in Spatial Domain

On defocus, diffusion and depth estimation

An intrinsic property of real aperture imaging has been that the observations tend to be defocused. This artifact has been used in an innovative manner by researchers for depth estimation, since the amount of defocus varies with varying depth in the scene. There have been various methods to model the defocus blur. We model the defocus process using the model of diffusion of heat. The diffusion ...

Multicamera Based Automated Rotoscoping & Depth Map Estimation Using Patchmatch

This short paper proposes a method for computing depth maps from multiple satellite cameras and fusing them to an enhanced one for the principal camera of a movie production. Additional precision is gathered from optionally adding a Time-of-Flight camera. The proposed algorithm is a generalization of the PatchMatch Stereo algorithm [1]. It calculates multiple stereo depth maps without the need ...

Defocus map estimation from a single image

In this paper, we address the challenging problem of recovering the defocus map from a single image. We present a simple yet effective approach to estimate the amount of spatially varying defocus blur at edge locations. The input defocused image is re-blurred using a Gaussian kernel and the defocus blur amount can be obtained from the ratio between the gradients of input and re-blurred images. ...