Computer Vision: Fundamentals and Applications
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Tasks associated with computer vision include methods for acquiring, processing, analyzing, and comprehending digital images, as well as the extraction of high-dimensional data from the physical environment in order to produce numerical or symbolic information, such as judgments. In the context of this discussion, understanding refers to the process of converting mental representations into descriptions of the external world that are coherent to one's cognitive processes and are able to evoke the right response. This picture comprehension can be understood as the untangling of symbolic information from visual data through the utilization of models that were developed with the assistance of geometry, physics, statistical analysis, and learning theory.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Computer vision
Chapter 2: Machine vision
Chapter 3: Image analysis
Chapter 4: Image segmentation
Chapter 5: Optical flow
Chapter 6: Motion detection
Chapter 7: Gesture recognition
Chapter 8: Pose (computer vision)
Chapter 9: Outline of computer vision
Chapter 10: Stereo cameras
(II) Answering the public top questions about computer vision.
(III) Real world examples for the usage of computer vision in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer vision' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer vision.
