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Facial landmark localization is a fundamental module for pose-invariant face recognition.
To have a more reliable landmark localization, two different persons annotated the database independently.
A straightforward way to assess landmark detection and landmark localization performances is to use manually annotated ground-truths.
Use of geometry: The task of landmark localization is aided by the knowledge of the geometric relationship (distances, angles etc).
Dantone et al. [104] propose pose-dependent landmark localization scheme that is achieved by conditional random forests.
The main challenge of facial landmark localization in real-world application is that the large changes of head pose and facial expressions cause substantial image appearance variations.
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This area includes the robot localization uncertainty and the landmarks localization uncertainty.
During the prediction step, the landmarks localization and uncertainties do not change: landmarks are defined in the global frame.
Landmark initialization defines the initial coordinates and the initial covariance of landmarks localization (also called interest points or features).
Mandibular landmarks localization and airway semiautomatic segmentation on cone beam computed tomography scans allowed airway volume computing and measurements.
First, we show the accuracy results for a landmark point localization test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com