A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

Human detection methods are widely used in various fields such as autonomous vehicles,
video surveillance, and rescue systems. To provide a more effective detection system …

Neonatal magnetic resonance (MR) images typically have low spatial resolution and
insufficient tissue contrast. Interpolation methods are commonly used to upsample the …

We studied the empirical distributions of luminance, range and disparity wavelet coefficients
using a coregistered database of luminance and range images. The marginal distributions of …

Disparity acquisition is beneficial to various 3D multimedia applications, ie, free viewpoint
TV (FTV), 3DTV, and 3D scene model reconstruction. In this paper, we propose an efficient …

In this paper, we propose a stereo matching algorithm based on distance transform to
generate high-quality disparity maps with occlusion handling. In general, pixel intensities …

In this paper, we introduce a Mumford–Shah framework to restore the face normal field on
the triangulated surface. To effectively discretize Γ-convergence approximation of the …

Depth from Defocus (DFD) suggests a simple optical set-up to recover the shape of a scene
through imaging with shallow depth of field. Although numerous methods have been …

In this paper, we propose a two-stage image segmentation model based on structure tensor
and fractional-order regularization. In the first stage, we use the fractional-order …

In this paper, three stereo matching algorithms are investigated: Block Matching Stereo
(BMS) represents local area matching techniques, Symmetric Dynamic Programming Stereo …