This paper describes a CMOS-based time-of-flight depth sensor and presents some
experimental data while addressing various issues arising from its use. Our system is a …

We propose a method for estimating depth from images captured with a real aperture
camera by fusing defocus and stereo cues. The idea is to use stereo-based constraints in …

A theoretical investigation of the properties of the Si3C4, Si4C3, and Si4C4 clusters is
reported. Systematic explorations of the potential energy surfaces of the three clusters are …

We present an overview of imaging systems that incorporate a volume hologram as one of
the optical field processing elements in the system. We refer to these systems as volume …

This paper presents a new technique for defocus estimation of a captured image. In our
method, a ratio of the wavelet coefficients of high frequency correspond to a same image …

Showcasing the most influential developments, experiments, and architectures impacting
the digital, surveillance, automotive, industrial, and medical sciences, Image Processing …

This paper presents an algorithm for a cooperative and simultaneous estimation of depth
cues: defocus blur and spatial shifts (stereo disparities, two-dimensional (2D) motion, and/or …

We propose a solution to the problem of inferring the depth map, radiance and motion of a
scene from a collection of motion-blurred and defocused images. We model motion-blur and …

The depth from focus measurement principle relies on the detection of the optimal focusing
distance for measuring the depth map of an object and finding its 3D shape. The principle is …

Digital terrain models (DTMs) in the present context are simply regular grids of elevation
measurements over the land surface. DTMs are mainly extracted by applying the technique …