Facial Expression Recognition System with Machine Learning

By Nikunja Bihari

"Facial Expression Recognition System with Machine Learning" by Nikunja Bihari is an essential guide for researchers and practitioners who want to learn about facial expression recognition systems. The book focuses on the development of machine learning-based techniques for facial expression recognition using computer vision and image processing approaches. The book begins with an introduction to facial expression recognition and the techniques used in machine learning for this purpose.

The author then explores the different steps involved in the development of facial expression recognition systems, including data acquisition, feature extraction, feature selection, classification, and evaluation. The book also covers the latest advancements in deep learning-based techniques for facial expression recognition.

The book is written in a concise and easy-to-understand language, making it accessible to a wide range of readers, from students to researchers and professionals. It includes practical examples and case studies that help readers understand the implementation of machine learning techniques for facial expression recognition systems. The book also discusses the limitations and future directions of facial expression recognition systems.

Overall, "Facial Expression Recognition System with Machine Learning" is a valuable resource for anyone interested in the field of facial expression recognition and machine learning.

• Format: Paperback
• Language: English
• ISBN: 1805291033
• ISBN13: 9781805291039
• Release Date: May 2023
• Publisher: Independent Publishers
• Length: 116 Pages
• Weight: 0.36 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"