Osslan Osiris Vergara Villegas – författare

This book focuses on augmented reality (AR) technology, which uses the real environment to superimpose virtual elements. Therefore, the reader can create applications that simulate scenarios that can be dangerous or expensive to generate in the real world. AR has proven helpful in education, marketing, and industrial scenarios. AR technology improves the user experience of various disciplines, incorporating virtual information that maximizes the experience and adds knowledge. This book intends students, researchers, and developers to have the possibility of finding the foundations on which AR technology rests.Our book intends that students, researchers, and developers: (i) learn the basics of AR; (ii) understand the technologies that support AR; (iii) know about AR applications that have been a watershed; (iv) gain an understanding of the critical elements needed to implement an AR application; (v) acquire skill in the step-by-step development of an AR application; (vi) learn how to use the instruments to evaluate an AR application; (vii) understand how to present the information about study cases; and (viii) gain knowledge about AR challenges and trends.

The field of mechatronics (which is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes) is gaining much attention in industries and academics.

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juárez, Mexico, in June 2022. The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. robotics and remote sensing applications of pattern recognition;

This book constitutes the proceedings of the 18th Mexican Conference on Pattern Recognition, MCPR 2026, held in Ciudad Juárez, Mexico, during June 24–27, 2026.The 34 full papers presented in this volume were carefully reviewed and selected from 58 submissions. The papers are organized into the following topical sections: Pattern Recognition and Machine Learning Techniques; Deep Learning and Neural Networks; Computer Vision; Language Processing and Recognition; and Medical Applications of Pattern Recognition.