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Many factors, such as illumination, pose, and image quality, can affect the matching accuracy.
We have ensured that Clinical Face Phenotype Space is robust to spurious variations such as lighting, pose, and image quality which would otherwise bias analyses.
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The method employs a convolutional network to map images of faces to points on a low-dimensional manifold parameterized by pose, and images of non-faces to points far away from that manifold.
There are weapons being swung, creepy voice-over questions posed and images flickering ominously, as a seriously jawboned and desperate Brolin looks for answers and someone to hurt.
The transformation between profile face image (90° angle pose) and frontal face image (0° angle pose) is known to be nonlinear, and this nonlinearity is taken into account by introducing kernel functions.
These images comprise variations in illumination direction, scale, pose, and expression; see sample images in Figure 8.
In this paper, a hybrid visual servo (HVS) controller is proposed for underwater vehicles, in which a combination of the vehicle's 3-D Cartesian pose and the 2-D image coordinates of a single feature is exploited.
To handle different pose and sizes all the images of each and every person are to be registered against a frontal and neutral face design of that person.
Simply says that Pose.com is a posing and stylish images from the users.
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.
Variation in lighting, image resolution, pose, and occlusions has only been restricted when it obscures the facial characteristics (such as a hand covering the face).
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