Definition
The central objective of a computer vision task is to perceive visual data and develop a response. Various processes take place in the data to decisionchain. High-performance computing refers to the capacity to achieve a computational task at the required fidelity with minimal resources including time and endurance. Recent explosive growth in video cameras and the resulting ubiquity of visual data broaden the scope of high-performance computer vision well beyond robotics and automation. It is difficult to crisply separate the processing and perception mechanisms underlying this chain. Inspired by neural information processing in the visual system, they are often broadly grouped as low-, intermediate-, and higher-level vision. Low-level vision entails very simple computations applied at each pixel and its immediate neighborhood. Examples include edge detection, texture, order...
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Seetharaman, G. (2014). High-Performance Computing in Computer Vision. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_789
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DOI: https://doi.org/10.1007/978-0-387-31439-6_789
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