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  2. Why Experts Say Knowing Your Face Shape Could Change Your ...

    www.aol.com/why-experts-knowing-face-shape...

    There are five main face shapes that hairstylists and makeup artists use to determine which styles look best on clients. Read on to learn how to find yours. ... Cutting your hair into a bob will ...

  3. Haar-like feature - Wikipedia

    en.wikipedia.org/wiki/Haar-like_feature

    The position of these rectangles is defined relative to a detection window that acts like a bounding box to the target object (the face in this case). In the detection phase of the Viola–Jones object detection framework, a window of the target size is moved over the input image, and for each subsection of the image the Haar-like feature is ...

  4. Three-dimensional face recognition - Wikipedia

    en.wikipedia.org/wiki/Three-dimensional_face...

    Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition .

  5. Category:Hairstyles - Wikipedia

    en.wikipedia.org/wiki/Category:Hairstyles

    Download as PDF; Printable version; In other projects ... Facial hair styles (2 C, 2 P) S. Scalp hairstyles (10 P) Pages in category "Hairstyles" ... Shape-up; Shikha ...

  6. Active appearance model - Wikipedia

    en.wikipedia.org/wiki/Active_appearance_model

    It is related to the active shape model (ASM). One disadvantage of ASM is that it only uses shape constraints (together with some information about the image structure near the landmarks), and does not take advantage of all the available information – the texture across the target object. This can be modelled using an AAM.

  7. Landmark detection - Wikipedia

    en.wikipedia.org/wiki/Landmark_detection

    In computer science, landmark detection is the process of finding significant landmarks in an image. This originally referred to finding landmarks for navigational purposes – for instance, in robot vision or creating maps from satellite images .

  8. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.

  9. Eigenface - Wikipedia

    en.wikipedia.org/wiki/Eigenface

    This pattern is how different features of a face are singled out to be evaluated and scored. There will be a pattern to evaluate symmetry, whether there is any style of facial hair, where the hairline is, or an evaluation of the size of the nose or mouth. Other eigenfaces have patterns that are less simple to identify, and the image of the ...