Depth map reconstructed through passive or active methods usually has noise and exhibits
poor shape quality. In the case of shape from focus (SFF), improvement techniques can be …

Defocus map estimation (DME) is highly important in many computer vision applications.
Nearly, all existing approaches for DME from a single image are based on a one-parameter …

In this work, we aim to tackle the task of monocular depth estimation, ie, estimating depth
map from only one single image. Without the references to determine the scale of the scene …

In recent years, much attention has been paid to the electronic cluster eye (eCley), a new
type of artificial compound eyes, because of its small size, wide field of view (FOV) and …

In this work, we propose a multi-camera system where we combine a main high-quality
camera with two low-res auxiliary cameras. The auxiliary cameras are well calibrated and …

Abstract Shape From Focus (SFF) methods frequently use a single focus measure to obtain
a depth map. Common focus measures are fixed and spatially invariant. In this paper we …

In this paper, new methodologies for the estimation of the depth of a target with unknown
dimensions, based on depth from focus strategies, are proposed. The measurements are …

Multi-view stereo remains a popular choice when recovering 3D geometry, despite
performance varying dramatically according to the scene content. Moreover, typical pinhole …

This paper proposes a novel Depth From Defocus (DFD) technique based on the property
that two images having different focus settings coincide if they are reblurred with the …

Computer vision applications rely upon high resolution images with extended depth of field
(DoF). Most approaches contain arrays of lenses and computing intensive algorithms that …