Share

Object Detection and Recognition in Digital Images

Download Object Detection and Recognition in Digital Images PDF Online Free

Author :
Release : 2013-05-20
Genre : Science
Kind : eBook
Book Rating : 36X/5 ( reviews)

GET EBOOK


Book Synopsis Object Detection and Recognition in Digital Images by : Boguslaw Cyganek

Download or read book Object Detection and Recognition in Digital Images written by Boguslaw Cyganek. This book was released on 2013-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

Object Detection by Stereo Vision Images

Download Object Detection by Stereo Vision Images PDF Online Free

Author :
Release : 2022-09-14
Genre : Computers
Kind : eBook
Book Rating : 190/5 ( reviews)

GET EBOOK


Book Synopsis Object Detection by Stereo Vision Images by : R. Arokia Priya

Download or read book Object Detection by Stereo Vision Images written by R. Arokia Priya. This book was released on 2022-09-14. Available in PDF, EPUB and Kindle. Book excerpt: OBJECT DETECTION BY STEREO VISION IMAGES Since both theoretical and practical aspects of the developments in this field of research are explored, including recent state-of-the-art technologies and research opportunities in the area of object detection, this book will act as a good reference for practitioners, students, and researchers. Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, machine learning, stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. More specifically, detection using stereo vision images/video from its developmental stage up till today, its possible applications, and general research problems relating to it are covered. Also presented are techniques and algorithms that satisfy the peculiar needs of stereo vision images along with emerging research opportunities through analysis of modern techniques being applied to intelligent systems. Audience Researchers in information technology looking at robotics, deep learning, machine learning, big data analytics, neural networks, pattern & data mining, and image and object recognition. Industrial sectors include automotive electronics, security and surveillance systems, and online retailers.

2D Object Detection and Recognition

Download 2D Object Detection and Recognition PDF Online Free

Author :
Release : 2002
Genre : Computers
Kind : eBook
Book Rating : 945/5 ( reviews)

GET EBOOK


Book Synopsis 2D Object Detection and Recognition by : Yali Amit

Download or read book 2D Object Detection and Recognition written by Yali Amit. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the computer detection and recognition of 2D objects in gray-level images.

Toward Category-Level Object Recognition

Download Toward Category-Level Object Recognition PDF Online Free

Author :
Release : 2007-01-25
Genre : Computers
Kind : eBook
Book Rating : 955/5 ( reviews)

GET EBOOK


Book Synopsis Toward Category-Level Object Recognition by : Jean Ponce

Download or read book Toward Category-Level Object Recognition written by Jean Ponce. This book was released on 2007-01-25. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Deep Learning in Object Detection and Recognition

Download Deep Learning in Object Detection and Recognition PDF Online Free

Author :
Release : 2020-11-27
Genre : Computers
Kind : eBook
Book Rating : 512/5 ( reviews)

GET EBOOK


Book Synopsis Deep Learning in Object Detection and Recognition by : Xiaoyue Jiang

Download or read book Deep Learning in Object Detection and Recognition written by Xiaoyue Jiang. This book was released on 2020-11-27. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

You may also like...