A Concise Review of Deep Learning Deployment in 3D Computer Vision Systems
Farooq Sijal Shaqwi, Lukman Audah, Mustafa Hamid Hassan, Mohammed Ahmed Jubair, Mohd Helmy Abd Wahab, Salama A. Mostafa · 2021
Deep Learning (DL) has advanced the concept of digital image processing, but this does not rule out the relevance of the conventional computer vision techniques as they have continuously been rebranded even before the emergence of DL. DL techniques have over the years been the method of choice in several fields due to their superior performance compared to the state-of-the-art machine learning methods. Among the numerous DL methods, computer vision has to be one of the most prominent methods, and given this, this article overviewed the concept of DL in computer vision, focusing more on the recent advancements in tasks that involve 3D visual data. Some of the DL schemes that are relevant in solving computer vision problems were also briefly reviewed. Furthermore, the history, structure, merits, and drawbacks of these DL schemes were provided. The application of these DL schemes in various computer vision tasks, like object detection, was also described in this article.