Chen C. Pattern Recognition and Computer Vision in the New AI Era 2026

Textbook in PDF format

While traditional approaches in pattern recognition and Computer Vision have continued to evolve, along with the advances of Artificial Intelligence (AI), this unique compendium presents recent research activities in Deep Learning, graph-based and semantic-based approaches and applications.
The book covers the most recent advances as well as traditional topics in pattern recognition and Computer Vision in this new AI area in the first part. The second part presents emerging applications of Deep Learning and AI.
The theoretical work and fundamental concepts in pattern recognition and Computer Vision have remained largely the same over the years. In place of the Handbook series, this volume has emphasized on the effects of modern AI development, especially Deep Learning on pattern recognition, and Computer Vision. This book consists of two parts: Part 1 on theory and applications covers more traditional topics in pattern recognition and Computer Vision with particular applications in remote sensing and medicine. Part 2 on emerging Deep Learning and AI applications presents some latest Deep Learning topics in pattern recognition and Computer Vision.
This useful reference text benefits academics, professionals, researchers and graduate students in pattern recognition, Computer Vision, image segmentation and Artificial Intelligence