Abstract Depth-from-focus (DFF) is a technique that infers depth using the focus change of a
camera. In this work, we propose a convolutional neural network (CNN) to find the best …

Shape from focus (SFF) is a technique for reconstructing the 3D shape of a scene from a
sequence of multi-focus images. The quality of the shape reconstruction depends on the …

A new method for focus measure computation is proposed to reconstruct 3D shape using
image sequence acquired under varying focus plane. Adaptive histogram equalization is …

This paper presents a method to distinguish between obstacles and manipulator when they
share the same workspace. Microsoft Kinect is used as a capturing device. A Kinect …

Abstract Shape-from-focus (SFF) is a passive technique widely used in image processing for
obtaining depth-maps. This technique is attractive since it only requires a single monocular …

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 …

We present a novel iterative feedback approach for the simultaneous estimation of depth
and all-in-focus (AIF) videos from a defocused video pair by joint spatiotemporal …

This paper presents a novel iterative feedback framework for simultaneous estimation of
depth map and All-In-Focus (AIF) image, which benefits each other in each stage to obtain …

The analysis of industrially important electronic components of micro dimensions such as
thin film transistor liquid crystal display color filter is of fundamental importance in consumer …

This paper presents a method to distinguish between a manipulator and its surroundings
using a depth sensor. The depth sensor used is Kinect. First Kinect calibration is addressed …