Dense depth estimation plays a crucial role in developing context-aware computer-assisted
intervention systems. However, it is a challenging task due to low image quality and highly …

SIDA-GAN is a set of GAN based deep learning models that can be employed for predicting
the depth map for a given single input RGB image. This article explores the research gap …

Piece-wise planar 3D reconstruction simultaneously segments plane instances and
recovers their 3D plane parameters from an image, which is particularly useful for indoor or …

Nowadays, in a very huge number of engineering applications one can infer the use of
machine learning methods. From the sensing of data, one can infer the necessity of signal …

Camera localisation has been a computational challenge within the vision and robotics
tasks, such as tracking, detection, and navigation within a scenario. Hence, it is necessary to …

Monocular depth estimation from single images has gained increasing attention in recent
years, considering that this technique is one of the most important techniques in …