Computer Vision: Challenges, Trends, and Opportunities
Original price was: $223.77.$111.89Current price is: $111.89.
Md Atiqur Rahman Ahad
Product Specs:
- File Type: PDF
- File Size: 79.5 MB
- Book Language: English
- Total Page Count: 359
- Instant Download
Computer vision is no longer confined to image recognition benchmarks: it is being applied in healthcare, robotics, media, transportation, sports, and more. Computer Vision: Challenges, Trends, and Opportunities brings these varied settings together in a research-focused collection, pairing surveys of existing approaches with discussion of problems that remain unresolved.
One field, many demanding applications
Across 15 chapters, contributors examine data-driven AI and industry research alongside biometrics, face recognition, digital forensics, stroke rehabilitation, medical image segmentation, underwater robotics, entertainment, immersive technologies, autonomous driving, sports analytics, and neuromorphic computing. The scope offers a broad view of how computer vision methods meet the specific needs and constraints of different domains.
Research challenges as well as applications
The volume gives attention to issues that recur across the field, including domain shift, robustness, bias, and the difficulty of obtaining suitable datasets. These themes help connect otherwise distinct chapters: a method that works well in one setting may raise different questions when applied to another.
Explore the collection by topic
- Research challenges and solutions in data-driven AI
- Biometrics, human identification, and variation in face-recognition accuracy
- Computer vision in digital forensics, rehabilitation, medical imaging, and robotics
- Applications in entertainment, media quality, and extended reality
- Perception for autonomous driving, sports analysis, and neuromorphic computing
A reference point for computer vision readers
Because each chapter focuses on a different area, readers can turn to the subjects most relevant to their work or use the collection to survey the field more widely. It is aimed at students, researchers, and industry practitioners interested in computer vision, imaging, and AI—and in both current systems and the questions guiding future research.
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