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Facial feature point detection

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Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing. An interest point is a point in the image which in general can be characterized as follows: [1] [2]. Historically, the notion of interest points goes back to the earlier notion of corner detection , where corner features were in early work detected with the primary goal of obtaining robust, stable and well-defined image features for object tracking and recognition of three-dimensional CAD -like objects from two-dimensional images. In practice, however, most corner detectors are sensitive not specifically to corners, but to local image regions which have a high degree of variation in all directions. The use of interest points also goes back to the notion of regions of interest, which have been used to signal the presence of objects, often formulated in terms of the output of a blob detection step.
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Automatic Facial Feature Points Detection

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Face Feature Points Detection Based on Adaboost and AAM | SpringerLink

FaceMark is a powerful API for facial feature detection. It finds 68 points for a frontal face and 35 for a profile one. FaceMark detects landmarks for faces on the image specified by URL or uploaded as a file and produces JSON output containing a vector of facial landmarks and orientation for each face found. Free usage plan available!
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Automatic landmark point detection and tracking for human facial expressions

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Over 40 million developers use GitHub together to host and review code, project manage, and build software together across more than million projects. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.
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