Robotics and autonomous systems can aid disabled individuals in daily living or make a workplace more productive, but these tools are only as effective as the technology behind them. Robotic systems must be able to accurately identify and act upon elements in their environment to be effective in performing their duties.
Innovative Research in Attention Modeling and Computer Vision Applications explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. This book provides researchers, students, academicians, software designers, and application developers with next-generation insight into the use of computer vision technologies in a variety of industries and endeavors.
This premier reference work includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.
Reviews and Testimonials
A combination of survey articles and research reports provides a snapshot of the state of image processing and computer vision. Looking first at visual attention modeling and applications then at other computer vision applications, they consider such topics as biologically-inspired models for attentive robot vision, video saliency detection for visual cryptography-based watermarking, a generic design for implementing intersection between triangles in computer vision and spatial reasoning, a survey of palmprint-based biometric recognition systems, and analyzing facial expression using three-dimensional range images.
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