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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2021 Springer Natu

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Liveness Detection via Facial Expressions Queue,yes, eyebrows, mouth, and nose, which are the main elements of the face, can be distinguished by their variability and the distance between them. Further, the most important parameters are the size of the eye, how much the eyebrows are bent, how close the mouth is, and how much the mouth is open. We
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Java Based Application Development for Facial Identification Using OpenCV Library,ing language. The OpenCV library was selected and used for recognition of image templates. Based on the methods that the OpenCV library classes offer, a software with a graphical user interface for detecting faces has been developed.
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Adaptive Retraining of Visual Recognition-Model in Human Activity Recognition by Collaborative Huma have varying behavioral styles and inter-activity-variability. A cloud server provides and updates the recognition model in all robots. The server continuously fetches the new activity videos recorded by the robots. It also fetches corresponding results and ground-truths provided by the human inter
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Food Classification for Inflammation Recognition Through Ingredient Label Analysis: A Real NLP Casessible adverse responses due to food ingestion. Concerning this point, consumers and industry players are also demanding tools useful to warn individuals about the composition of commercial products. In this scenario, Natural Language Processing (NLP) approaches can be very useful to classify foods
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