• Nakul Singh

Computer vision is a well-studied field due to its wide applications in several spheres, from medicine to robotics. The ubiquity of computer vision tasks in almost all domains prompted innovative solutions based on machine learning methods. Consequently, in recent years several developments have been made in the area of Artificial intelligence-aided computer vision. These methods provide a commendable performance improvement over the traditional techniques and work in an end-to-end framework requiring minimal manual intervention. Because of the flexibility offered by machine learning techniques, they are a favorable alternative for tasks like object recognition, activity detection, and image segmentation. This work briefly reviews some popular machine learning algorithms that have gained prominence in computer vision tasks.

Machine learning, deep learning, computer vision, face detection, object recognition, CNN, DBN, RBM

"Machine learning algorithms for Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.564-569, March-2019, Available :http://www.jetir.org/papers/JETIR1903N75.pdf

"Machine learning algorithms for Computer Vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp564-569, March-2019, Available at : http://www.jetir.org/papers/JETIR1903N75.pdf