Abstract Machine learning combined with geometric reasoning is a promising approach for
generating new perspectives of a scene using limited image captures, known as neural …

Three-dimensional (3D) point clouds are important for many applications, including object
tracking and 3D scene reconstruction. Point clouds are usually obtained from laser …

As known Close range photogrammetry represents one of the most techniques to create
precise 3D model. Metric camera, digital camera, and Laser scanning can be exploited for …

The increase in computational power in recent years has opened a new door for image
processing techniques. Three‐dimensional object recognition, identification, pose …

A three-dimensional (3D) model extraction represents the best way to reflect the reality in all
details. This explains the trends and tendency of many scientific disciplines towards making …

Purpose: This study aims to determine the factors that affect how Chinese customers utilize
and behave when using mobile banking. The conceptual framework focuses on the …

Structure from motion (SFM) is the problem of reconstructing the 3D image from 2D images.
The main problem of 3D reconstruction is the quality of the 3D image that depends on the …

This study aims to determine the factors that affect how retired Chinese customers use
mobile banking. The conceptual framework focuses on the relationship between perceived …

Computer vision and Image processing are some of the most important technical aspects in
the domain of object detection and reconstruction. These concepts provide solutions not …

The present invention provides a method for repairing incomplete 3D depth image using 2D
image information. The method includes the following steps: obtaining 2D image information …