Object Detection by Stereo Vision Images

This book explores advancements in object detection using stereo vision images, offering practical insights for researchers and practitioners in various fields.

The book Object Detection by Stereo Vision Images delves into both the theoretical and practical dimensions of advancements in the domain of object detection. It encompasses cutting-edge technologies and research opportunities, making it a valuable reference for practitioners, students, and researchers alike. By examining recent developments, the book highlights the significant progress made in the field, offering insights into how these innovations can be leveraged in various applications.

In today's rapidly evolving landscape, the integration of state-of-the-art technologies has paved the way for new research avenues in object detection and recognition. This includes areas such as digital image and video processing, robotics, neural networks, and machine learning. The book aims to guide those interested in developing intelligent applications that can detect objects and estimate depth, while also emphasizing the importance of high-performance computing techniques in enhancing system performance. Detailed discussions on tools, languages, libraries, frameworks, and APIs for application development are also included.

Targeting a diverse audience, Object Detection by Stereo Vision Images appeals to researchers in information technology, particularly those focused on robotics, deep learning, and big data analytics. It also addresses industrial sectors like automotive electronics, security systems, and online retail, providing insights that are both practical and relevant in today's technological landscape.