Estimating scene depth from a single monocular image is a crucial component in computer
vision tasks, enabling many further applications such as robot vision, 3-D modeling, and …

Image filtering has long been an area of interest in computer vision applications. It may be
used in applications where noise is prominent or when certain features need to be …

Inferring scene depth from a single monocular image is an essential component in several
computer vision applications such as 3D modeling and robotics. This process is an ill-posed …

Estimating depth from a single monocular image is a fundamental problem in computer
vision. Traditional methods for such estimation usually require complicated and sometimes …

In the past few years, depth estimation from a single image has received increased
attentions due to its wide applicability in image and video understanding. For realizing these …

In this paper, the problem of single 2D image depth estimation is considered. This is a very
important problem due to its various applications in the industry. Previous learning-based …

Despite the rapid growth of 3D displays in the last few years, insufficient supply of 3D
contents has led to considerable effort in devising 2D to 3D conversion algorithms. Inferring …

Depth estimation plays an important role in many applications of computer vision. Depth can
be inferred from multiple images of same scene taken from different station points or from …

Nowadays, depth estimation from a single 2D image is a prominent task due to its numerous
applications such as 2D to 3D image/video conversion, robot vision, and self-driving cars …

Realistic modeling of a 3D environment has grown in popularity due to the increasing realm
of practical applications. Whether for practical navigation purposes, entertainment value, or …