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What is Computer Vision
Computer vision tasks include methods for acquiring, processing, analyzing, and comprehending digital images, as well as the extraction of high-dimensional data from the actual world in order to provide numerical or symbolic information, such as, for example, in the form of judgments. In the context of this discussion, understanding refers to the process of transforming visual pictures into descriptions of the environment that are comprehensible to thinking processes and have the ability to evoke appropriate action. It is possible to interpret this picture understanding as the process of extracting symbolic information from image data by making use of models that have been created with the assistance of learning theory, geometry, physics, and computer science.
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: Rita Cucchiara
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.
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.
Computer vision tasks include methods for acquiring, processing, analyzing, and comprehending digital images, as well as the extraction of high-dimensional data from the actual world in order to provide numerical or symbolic information, such as, for example, in the form of judgments. In the context of this discussion, understanding refers to the process of transforming visual pictures into descriptions of the environment that are comprehensible to thinking processes and have the ability to evoke appropriate action. It is possible to interpret this picture understanding as the process of extracting symbolic information from image data by making use of models that have been created with the assistance of learning theory, geometry, physics, and computer science.
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: Rita Cucchiara
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.
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.
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