Review of Research Progress in Computer Vision

Abstract

Computer vision, being a pivotal element of artificial intelligence, has witnessed significant advancements in theoretical methodologies, key technologies, and practical applications after years of development, which has shown great application prospects in medical, industrial, transportation, military, public safety, and other fields. Therefore, it is necessary to review the current development and application of computer vision technology to comprehensively evaluate its future development trend and potential. Firstly, this paper reviews the development history of computer technology. Then, aiming at the specific tasks of computer vision, the typical methods and models based on depth learning in recent years are summarized, including image classification, target detection, image segmentation, etc. Then, the application and research progress of computer vision technology in various vital fields are introduced respectively. Finally, the current challenges and critical research problems in computer vision technology are analyzed.