Purpose of Image Stitching and SLAM (Simultaneous Localization and Mapping)

Robots are one of the most important aspects of our life in recent times. This article mainly deals with the concept of image joining and simultaneous localization and mapping, also known as SLAM.

In recent times, technology has come a long way. Many technological improvements have also been made in the field of photography. Picture stitching is one such advancement in this field that has proven to be very helpful.

Mobile robots are technological advancements that have alleviated humanity’s workload. They can perform various functions, such as managing a disaster and in various emergency and rescue procedures. Robots have also been used on various platforms for widespread search and exploration, for example a system to form astronomical images or to search for patents and trademarks.

SLAM or simultaneous localization and mapping is a problem in calculation geometry that helps to update maps for robot navigation. It was first investigated in detail in 1986. This also tracks one agent at the same time.

Image stitching is a procedure in which multiple images are “stitched” together to produce the final image that has high resolution.

Purpose of image stitching and SLAM:

Image stitching helps to correctly position large-width images. You can avoid any kind of distortion in the final image. Panoramic photos often use this concept. These high-resolution images are used in various industries, such as medical photography, satellite images, and certain artistic images. The stitched image concept is quite similar to how our brain works by trying to integrate two molecular fields of view (FOV) from each eye, to produce a final wide image. It is said that “natural stitched images of the brain allow the stereoscopic enhancement of human, binocular vision, surrounded by another 220 degrees of monocular peripheral vision.”

SLAM algorithms can be of various types. The “Collaborative SLAM” helps to form images or 3D images by assisting a combination of several images of various robots. The optical vision provided by the mono ORB SLAM camera also applies when viewing maps. This is also done using multiple computer algorithms. Therefore, SLAM is an important feature due to its many advantages. The “audiovisual SLAM” is also a well-known concept today. It was mainly introduced to allow humans to interact with robots more efficiently and appropriately.

Conclution:

This article deals primarily with an informative description of image and simultaneous location and mapping and its importance in today’s life. Image stitching is widely used in various sectors, such as astronomical and medical fields. SLAM is also used for various purposes. Collaborative SLAM is based on the concept of image joining where it helps to form 3D images by combining images from more than one robot. These services are also provided by many well-known companies. It can be concluded that both SLAM and image joining are very popular concepts today.