We describe a technique to recover depth from a light field (LF) using two proposed features
of the LF focal stack. One feature is the property that non-occluding pixels exhibit symmetry …

We present a method that takes as input a single dual-pixel image, and simultaneously
estimates the image's defocus map---the amount of defocus blur at each pixel---and …

Most modern consumer cameras use dual-pixel (DP) sensors that provide two sub-aperture
views of the scene in a single photo capture. The DP sensor was designed to assist the …

We consider the problem of two-frame depth from defocus in conditions unsuitable for
existing methods yet typical of everyday photography: a handheld cellphone camera, a …

Defocus blur usually causes performance degradation in establishing the visual
correspondence between stereo images. We propose a blur-aware disparity estimation …

Photography is the art of acquiring as many photons as possible of a given scene. In classic
cameras, the aperture time is irremediably limited by the risk of a motion blur when the …

摘要左右图像非对称离焦模糊会导致双目立体视觉系统的立体匹配失败. 为训练能够应对图像
模糊的神经网络, 基于归一化模糊度(NBL) 的分层景深叠加算法, 以FlyingThings-Stereo …

Pictures taken with finite aperture lenses typically have out-of-focus regions. While such
defocus blur is useful for creating photographic effects, it can also be used for depth …

While the accuracy of multi-view stereo (MVS) has continued to advance, its performance
reconstructing challenging scenes from images with a limited depth of field is generally poor …

(57) ABSTRACT A method comprises estimating disparity values for pixels located in an
occluded region of a first one of a defocused pair of Stereo images using: a first set of blur …