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681.3*I210 --- 681.3*I54 --- Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5} --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- 681.3*I210 Vision and scene understanding: architecture and control structures; motion; perceptual reasoning (Artificial intelligence)-- See also {681.3*I48}; {681.3*I5}

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Computer vision. --- Vision par ordinateur --- #TELE:MI2 --- Computer vision --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems

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Visual perception refers to the ability of understanding the visual information that is provided by the environment. Such a mechanism integrates several human abilities and was studied by many researchers with different scientific origins including philosophy, physiology, biology, neurobiology, mathematics and engineering. In particular in the recent years an effort to understand, formalize and finally reproduce mechanical visual perception systems able to see and understand the environment using computational theories was made by mathematicians, statisticians and engineers. Such a task connects visual tasks with optimization processes and the answer to the visual perception task corresponds to the lowest potential of a task-driven objective function. In this edited volume we present the most prominent mathematical models that are considered in computational vision. To this end, tasks of increasing complexity are considered and we present the state-of-the-art methods to cope with such tasks. The volume consists of six thematic areas that provide answers to the most dominant questions of computational vision: Image reconstruction, Segmentation and object extraction, Shape modeling and registration, Motion analysis and tracking, 3D from images, geometry and reconstruction Applications in medical image analysis.

Computer vision --- Mathematical models --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer simulation. --- Computer vision. --- Computer science. --- Simulation and Modeling. --- Mathematical Modeling and Industrial Mathematics. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Math Applications in Computer Science. --- Informatics --- Science --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Simulation methods --- Model-integrated computing --- 681.3*I54 --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Mathematical models. --- Optical data processing. --- Computer science—Mathematics. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Models, Mathematical --- Optical equipment