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Results by Category
Results in red indicate methods accepted but not yet published (e.g. accepted to an upcoming conference).
Results in green indicate commercial
recognition systems whose algorithms have not been published and peer-reviewed. We emphasize that researchers should not be compelled to compare against either of these types of
results.
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Face Recognition Algorithms. PCA | ICA | LDA | EP | EBGM | Kernel Methods | Trace Transform AAM | 3-D Morphable Model | 3-D
Face Recognition Bayesian Framework | SVM | HMM | Boosting & Ensemble Algorithms Comparisons. PCA. Derived from Karhunen-Loeve's transformation. Given an s-dimensional vector representation of each
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. CVonline vision databases page. This is a collated list of image and video databases that people have found useful for computer vision research and algorithm evaluation.
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face on them (no clutter). We need to find the
face on each image, convert to grayscale, crop it and save the image to the dataset.
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facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which
facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database.It is also described as a Biometric Artificial Intelligence based ...
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