Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …

Speaker identification is a classification task which aims to identify a subject from a given
time-series sequential data. Since the speech signal is a continuous one-dimensional time …

Relative camera pose estimation, ie estimating the translation and rotation vectors using a
pair of images taken in different locations, is an important part of systems in augmented …

Intelligent Transportation System (ITS) has evolved into a system for provision of traffic
information and traffic control with the help of advanced IT technologies. Congestion and …

Identifying the camera pose for a given image is a challenging problem with applications in
robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based …

High installation accuracy of Modular Integrated Construction (MiC) is crucial to prevent
structural damage, minimize safety incidents and enhance the efficiency. However, due to …

Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …

Human knowledge can quickly learn any unfamiliar concepts based on what they have
previously learned. Keeping this in mind, researchers tested training models with limited …