In-depth resource on outdoor optical flow estimation, delivering tools needed to enhance performance and reliability of systems
Clearing the Vision delivers a robust treatment of optical flow estimation under adverse outdoor conditions, offering a comprehensive guide and reference for readers developing vision-based systems that operate in outdoor environments where conditions are unpredictable, varied, and challenging.
This book analyzes advanced techniques and strategies for optical flow estimation that enhance the performance and reliability of real-world systems. It outlines everything from the fundamental principles of how objects move within complicated outdoor scenes, such as cars on a road or pedestrians in a park, to specific outdoor environment challenges, including sudden lighting changes and bad weather. The latest advancements in the field are explored, ensuring readers are equipped with the most up-to-date methods for their projects, and a visual roadmap is provided through detailed illustrations that enables readers to grasp even the most complex concepts with ease.
Throughout, insightful examples showcasing how this technology is applied in real-life scenarios are offered. Whether it's improving the safety of self-driving cars or improving the efficiency of surveillance systems, these examples demonstrate the practical impact of the concepts discussed.
Sample topics discussed in Clearing the Vision include:
Clearing the Vision is an essential read for researchers in computer vision and robotics and engineers developing autonomous systems and smart surveillance systems. The book is also an excellent supplementary learning resource for courses on computer science, robotics, and autonomous systems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Sana Rao is a Lecturer at Virtual University of Pakistan, Pakistan. Her research areas are computer vision and motion estimation. She has significant experience collaborating with public and private sector research groups.
Dr. Rao Kashif is an Assistant Professor in the Department of Computer Science and Engineering at NUML, Multan, Pakistan. Prior, he is CEO and Managing Director at the Center to Advance Level Research and Development, LTD, Pakistan.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. In-depth resource on outdoor optical flow estimation, delivering tools needed to enhance performance and reliability of systems Robust Optical Flow Estimation in Outdoor Environments delivers a robust treatment of optical flow estimation under adverse outdoor conditions, offering a comprehensive guide and reference for readers developing vision-based systems that operate in outdoor environments where conditions are unpredictable, varied, and challenging. This book analyzes advanced techniques and strategies for optical flow estimation that enhance the performance and reliability of real-world systems. It outlines everything from the fundamental principles of how objects move within complicated outdoor scenes, such as cars on a road or pedestrians in a park, to specific outdoor environment challenges, including sudden lighting changes and bad weather. The latest advancements in the field are explored, ensuring readers are equipped with the most up-to-date methods for their projects, and a visual roadmap is provided through detailed illustrations that enables readers to grasp even the most complex concepts with ease. Throughout, insightful examples showcasing how this technology is applied in real-life scenarios are offered. Whether its improving the safety of self-driving cars or improving the efficiency of surveillance systems, these examples demonstrate the practical impact of the concepts discussed. Sample topics discussed in Robust Optical Flow Estimation in Outdoor Environments include: Techniques to empower systems to tackle the complexities of outdoor environments, such as methods to enhance visibility in foggy, rainy, or hazy conditionsOptical flow estimation techniques including the classic model, improved variational methods, total variation methods, and non-local methodsOptical flow estimation-based segmentation, the influence of parameters, and quantitative and qualitative evaluation measuresCurrent research trends and problems still to be solved in the field Robust Optical Flow Estimation in Outdoor Environments is an essential read for researchers in computer vision and robotics and engineers developing autonomous systems and smart surveillance systems. The book is also an excellent supplementary learning resource for courses on computer science, robotics, and autonomous systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394294220
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Hardback. Etat : New. In-depth resource on outdoor optical flow estimation, delivering tools needed to enhance performance and reliability of systems Robust Optical Flow Estimation in Outdoor Environments delivers a robust treatment of optical flow estimation under adverse outdoor conditions, offering a comprehensive guide and reference for readers developing vision-based systems that operate in outdoor environments where conditions are unpredictable, varied, and challenging. This book analyzes advanced techniques and strategies for optical flow estimation that enhance the performance and reliability of real-world systems. It outlines everything from the fundamental principles of how objects move within complicated outdoor scenes, such as cars on a road or pedestrians in a park, to specific outdoor environment challenges, including sudden lighting changes and bad weather. The latest advancements in the field are explored, ensuring readers are equipped with the most up-to-date methods for their projects, and a visual roadmap is provided through detailed illustrations that enables readers to grasp even the most complex concepts with ease. Throughout, insightful examples showcasing how this technology is applied in real-life scenarios are offered. Whether it's improving the safety of self-driving cars or improving the efficiency of surveillance systems, these examples demonstrate the practical impact of the concepts discussed. Sample topics discussed in Robust Optical Flow Estimation in Outdoor Environments include: Techniques to empower systems to tackle the complexities of outdoor environments, such as methods to enhance visibility in foggy, rainy, or hazy conditionsOptical flow estimation techniques including the classic model, improved variational methods, total variation methods, and non-local methodsOptical flow estimation-based segmentation, the influence of parameters, and quantitative and qualitative evaluation measuresCurrent research trends and problems still to be solved in the field Robust Optical Flow Estimation in Outdoor Environments is an essential read for researchers in computer vision and robotics and engineers developing autonomous systems and smart surveillance systems. The book is also an excellent supplementary learning resource for courses on computer science, robotics, and autonomous systems. N° de réf. du vendeur LU-9781394294220
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