Abstract
While computers remain undoubtedly the most successful innovation of the modern-day world, it has helped us envision new dreams and aspirations which can be fulfilled with computer vision. Its ability of artificially sensing the external world coupled with its precision, accuracy, and quality-driven output has resulted in the use of software to cater to the upcoming and ever-growing needs, reducing human dependence on the tasks by self-maneuvering them. A path-breaking development arose with the attempt to utilize machine learning for recognition of patterns on real-time situations which opened a horizon of new opportunities for human talent to dwell on in the form of computer vision. Computer vision capabilities have set open another arena for development and improvement as well as revenue generation by working on computer vision capabilities; it often comes with its own challenges including difficulty in pattern recognition, efficient handling of variations in pose, illumination, expression, and occlusion. With the upgraded and enhanced techniques along with the implementation of computerized intelligence, efforts are being made to arrive at solutions to minimize the problems associated with computer vision explaining the processes like image segmentation, filtering, pattern recognition, and its applications involving several components such as memory, retrieval, reasoning, recognition, estimation, and coordination along with other senses in a manner that it serves a tool to aid the mankind.
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Rajpal, R., Yadav, V., Tomar, R. (2022). Applying Computation Intelligence for Improved Computer Vision Capabilities. In: Tomar, R., Hina, M.D., Zitouni, R., Ramdane-Cherif, A. (eds) Innovative Trends in Computational Intelligence. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-78284-9_7
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