Applied Computer Vision and Soft Computing with Interpretable AI PDF

This reference text presents the knowledge base of computer vision and soft computing techniques

with their applications for sustainable developments.

Features:

∙ Covers a variety of deep learning architectures useful for computer vision tasks.

∙ Demonstrates the use of different soft computing techniques and their applications for different

computer vision tasks.

∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing

taken together that give the interpretable, adaptive, and optimized solution to a given

problem.

∙ Addresses the different issues and further research opportunities in computer vision and

soft computing.

∙ Describes all the concepts with practical examples and case studies with appropriate performance

measures that validate the applicability of the respective technique to a certain

domain.

∙ Considers recent real word problems and the prospective solutions to these problems.

This book will be useful to researchers, students, faculty, and industry personnel who are eager to

explore the power of deep learning and soft computing for different computer vision tasks.

Authors: Swati V. Shinde, Darshan V. Medhane, Oscar Castillo