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Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Advances in Computer Vision and P…
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Handbook of Face Recognition
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Computational Intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biological…
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Face Detection and Recognition: Theory and Practice
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Kernel Learning Algorithms for Face Recognition
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Two- and Three-Dimensional Patterns of the Face
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Full print is visible on the front and reverse Microfiber polyester with a slightly transparent effect Hand wash only. Do not dry clean or tumble dry.
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Face Recognition Using Independent Component Analysis (Paperback)
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Size: Adult Face Shield New and improved face shields with comfortable glasses frames for adults and kids are here! Even though your face may be covered, you can still express your unique style with a personalized Zazzle Face Shield. Our customizable Face Shields are a perfect match for those who want a little extra protection around the eyes, nose, and mouth. They are made from a durable, clear PET plastic that is lightweight and easy to wear. The Centers for Disease Control and Prevention recommends the use of cloth face coverings1 as face masks to supplement social distancing in the fight against the spread of COVID-19. Zazzle’s customizable Face Shields are NOT surgical masks, personal protective equipment, or N-95 respirators – these critical resources are reserved for the brave healthcare workers who are on the front lines, taking care of our loved ones – but rather are intended for general, everyday use while out in public when social distancing measures are difficult to maintain. We made sure that our Face Shields had all the most-important features to keep you safe and comfortable: Comfortable glasses frames fit over most eyeglasses Reusable Comfortably fits over eyewear and face masks Adult size – 8.7\
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| Author: Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch | Publisher: Springer | Publication Date: Mar 04, 2022 | Number of Pages: 496 pages | Language: English | Binding: Hardcover | ISBN-10: 3030876632 | ISBN-13: 9783030876630
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| Author: Weina Fu, Yuan Xu, Shui-Hua Wang, Yudong Zhang | Publisher: Springer | Publication Date: 3-Sep-21 | Number of Pages: 504 pages | Language: English | Binding: Paperback | ISBN-10: 3030825647 | ISBN-13: 9783030825645
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Recently classifier combination methods have proved to be an effective tool to increase the performance of pattern recognition applications. There are numbers of different Decision Support System (DSS) that has developed to operate on the minimum input data set or the output data set to give the correct decision. A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the face recognition performance. In this book, a face recognition system has been developed by applying multi-classifier fusion on the output of the three different classification methods namely Artificial Neural Network, Genetic Algorithm
and Euclidean distance measure based on the Principal Component Analysis dimensionality reduction technique. Experimental results and performance analysis show the comparison results between multi-classifier fusion based face recognition system with individual classifier performance. Face Recognition Using Multiple Classifier Fusion (Paperback)
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Part I Computational Intelligence in Visual Pattern Recognition.- 1 Visual Pattern Recognition.- 2 Computational Intelligence Techniques.- 3 Multi-Feature Pattern Recognition.- Part II Feature Selection and Classification.- 4 Fuzzy-Rough Discriminative Feature Selection and Classification.- 5 Hand Posture and Face Recognition using Fuzzy-Rough Approach.- 6 Boosting based Fuzzy-Rough Pattern Classifier.- Part III Biologically Inspired Approaches in Hand Posture Recognition.- 7 Hand Posture Recognition using Neurobiologically Inspired Features.- 8 Attention based Segmentation and Recognition (ASR) Algorithm for Hand Postures Against Complex Backgrounds.- Appendices.- Index. • Author: Pramod Kumar Pisharady,Prahlad Vadakkepat,Loh Ai Poh • ISBN:9789812870551 • Format:Hardcover • Publication Date:2014-06-25
