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. Cur...
| Autors principals: | , , , , |
|---|---|
| Format: | text |
| Idioma: | eng |
| Publicat: |
Hoboken, NJ : Wiley ; Beverly, MA : Scrivener Publishing,
2022
|
| Matèries: |
| _version_ | 1826472870538117120 |
|---|---|
| author | Priya, R. Arokia, editor 651297 Patil, Anupama V., editor 651298 Bhende, Manisha, 1977- , editor 651299 Thakare, Anuradha 1978-, editor 651300 Wagh, Sanjeev, editor 623778 |
| author_facet | Priya, R. Arokia, editor 651297 Patil, Anupama V., editor 651298 Bhende, Manisha, 1977- , editor 651299 Thakare, Anuradha 1978-, editor 651300 Wagh, Sanjeev, editor 623778 |
| author_sort | Priya, R. Arokia, editor 651297 |
| collection | OCEAN |
| description | 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. |
| first_indexed | 2024-03-05T17:24:44Z |
| format | text |
| id | KOHA-OAI-TEST:608082 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:24:44Z |
| publishDate | 2022 |
| publisher | Hoboken, NJ : Wiley ; Beverly, MA : Scrivener Publishing, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6080822023-10-12T04:33:18ZObject Detection by Stereo Vision Images / Priya, R. Arokia, editor 651297 Patil, Anupama V., editor 651298 Bhende, Manisha, 1977- , editor 651299 Thakare, Anuradha 1978-, editor 651300 Wagh, Sanjeev, editor 623778 textHoboken, NJ : Wiley ; Beverly, MA : Scrivener Publishing,©20132022 engSince 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.Includes bibliographical references and index1. Data Conditioning for Medical Imaging -- 2. Detection of Pneumonia Using Machine Learning and Deep Learning Techniques 3. Contamination Monitoring System Using IOT and GIS -- 4. Video Error Concealment Using Particle Swarm Optimization -- 5. Enhanced Image Fusion with Guided Filters -- 6. Deepfake Detection Using LSTM-Based Neural Network -- 7. Classification of Fetal Brain Abnormalities with MRI Images -- 8. Analysis of COVID-19 Data Using Machine Learning Algorithm -- 9. Intelligent Recommendation System to Evaluate Teaching Faculty Performance Using Adaptive Collaborative Filtering -- 10. Virtual Moratorium System -- 11. Efficient Land Cover Classification for Urban Planning -- 12. Data-Driven Approches for Fake News Detection on Social Media Platforms -- 13. Distance Measurement for Object Detection for Automotive Applications Using 3D Density-Based Clustering -- 14. Real-Time Depth Estimation Using BLOB Detection/Contour Detection.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.ComputersPattern recognition systemsComputer vision,URN:ISBN:9781119842194 |
| spellingShingle | Computers Pattern recognition systems Computer vision, Priya, R. Arokia, editor 651297 Patil, Anupama V., editor 651298 Bhende, Manisha, 1977- , editor 651299 Thakare, Anuradha 1978-, editor 651300 Wagh, Sanjeev, editor 623778 Object Detection by Stereo Vision Images / |
| title | Object Detection by Stereo Vision Images / |
| title_full | Object Detection by Stereo Vision Images / |
| title_fullStr | Object Detection by Stereo Vision Images / |
| title_full_unstemmed | Object Detection by Stereo Vision Images / |
| title_short | Object Detection by Stereo Vision Images / |
| title_sort | object detection by stereo vision images |
| topic | Computers Pattern recognition systems Computer vision, |
| work_keys_str_mv | AT priyararokiaeditor651297 objectdetectionbystereovisionimages AT patilanupamaveditor651298 objectdetectionbystereovisionimages AT bhendemanisha1977editor651299 objectdetectionbystereovisionimages AT thakareanuradha1978editor651300 objectdetectionbystereovisionimages AT waghsanjeeveditor623778 objectdetectionbystereovisionimages |