Introduction:
Robots are one of the most important aspects of our lives in recent times. This article mainly deals with the concept of image stitching 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. Image stitching is one such advancement in this field that has proven to be very useful.
Mobile robots are technological advances that have eased the workload of mankind. They are capable of performing 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 for forming astronomical images or searching for patents and trademarks.
SLAM or simultaneous localization and mapping is a problem in computational geometry that helps to update maps for robot navigation. It was first investigated in detail in the year 1986. This also tracks an agent at the same time.
Image stitching is a procedure by which multiple images are “stitched” together to produce the final image that has high resolution.
Purpose of image stitching and SLAM:
Image stitching helps in proper positioning of vividly wide images. You can avoid any type of distortion in the final image. Panoramic photographs often use this concept. These high-resolution images are used in various industries, such as medical photography, satellite imagery, and certain fine art images. The concept of stitching images is quite similar to how our brains try to integrate two molecular fields of view (FOV) from each eye, to produce a final wide image. It is said that “the natural joint images of the brain allow for binocular vision, surrounded by another 220 degrees of monocular peripheral vision.”
SLAM algorithms can be of various types. “Collaborative SLAM” helps to form 3D images or images by helping a combination of multiple images from multiple robots. The optical vision provided by the ORB SLAM mono camera is also applied while viewing maps. This is also done by multiple computer algorithms. Hence, SLAM is an important feature due to the many advantages it has. “Audiovisual SLAM” is also a well-known concept today. It was mainly introduced to allow humans to interact with robots more efficiently and appropriately.
Conclusion:
This article is mainly about an informative description of imaging and simultaneous localization and mapping and its importance in today’s life. Image stitching is widely used in various industries, such as the medical and astronomical fields. SLAM is also used for various purposes. Collaborative SLAM is based on the concept of image stitching 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 stitching are very popular concepts nowadays.