Object Detection by Stereo Vision Images
eBook - PDF

Object Detection by Stereo Vision Images

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Object Detection by Stereo Vision Images

About this book

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.

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Yes, you can access Object Detection by Stereo Vision Images by R. Arokia Priya,Anupama V. Patil,Manisha Bhende,Anuradha D. Thakare,Sanjeev Wagh in PDF and/or ePUB format, as well as other popular books in Computer Science & Object Oriented Programming. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Chapter 1 Data Conditioning for Medical Imaging
  6. Chapter 2 Detection of Pneumonia Using Machine Learning and Deep Learning Techniques: An Analytical Study
  7. Chapter 3 Contamination Monitoring System Using IOT and GIS
  8. Chapter 4 Video Error Concealment Using Particle Swarm Optimization
  9. Chapter 5 Enhanced Image Fusion with Guided Filters
  10. Chapter 6 Deepfake Detection Using LSTM-Based Neural Network
  11. Chapter 7 Classification of Fetal Brain Abnormalities with MRI Images: A Survey
  12. Chapter 8 Analysis of COVID-19 Data Using Machine Learning Algorithm
  13. Chapter 9 Intelligent Recommendation System to Evaluate Teaching Faculty Performance Using Adaptive Collaborative Filtering
  14. Chapter 10 Virtual Moratorium System
  15. Chapter 11 Efficient Land Cover Classification for Urban Planning
  16. Chapter 12 Data-Driven Approches for Fake News Detection on Social Media Platforms: Review
  17. Chapter 13 Distance Measurement for Object Detection for Automotive Applications Using 3D Density-Based Clustering
  18. Chapter 14 Real-Time Depth Estimation Using BLOB Detection/Contour Detection
  19. Index
  20. EULA