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Related APIs in Category: Cameras
The Animetrics Face Recognition API can be used to find human faces, detect feature points, correct for off angle photographs, and ultimately perform facial recognition. Information on facial features, including ears, nose, eyebrows, lips, chin are returned as coordinates on the image. The Animetrics Face Recognition API will also detect and return the gender and orientation, or "pose" of faces along 3 axes. A special capability called "SetPose" is also available which allows the face to be re-rendered at a desired pose that is different than the captured pose. I.e. as if the photo was taken with respect to any desired angle relative to the camera. This is typically used when the facial photo is captured off angle and a zero-corrected fully frontal image (0 degrees pitch, yaw, and roll) is required. Detected facial features may be corrected or modified to improve the final results of subsequent steps. For example, an eye in the picture may be hidden or obscured; requesting just eye feature points, manually correcting their locations, and feeding this data into a more detailed request will help improve the accuracy of additional feature point and pose detection.
What’s for Supper? app helps users by providing them with a means to figure out what can be cooked based on entering the available ingredients in the household WFS? is presented with an animated video splash screen intro page upon open WFS? users can register through the app or through authentic Facebook login WFS? aims to be a free app trial for 30 days and offers an In-App Purchase of $.99 cents for full use of the app including additional In-App Purchases for more features GPS Integration will allow users directions to all nearby supermarkets and groceries What’s for Supper? Allows users to create custom family and allergy profiles WFS? camera feature will allow users to snap photos of food that can be added to the app for determining best dishes to make including recipes and nutritional information WIFI or Data connection is required for What’s for Supper? real time results
Video hard cut detection is used for separating a video stream into a set of individual scenes by detecting camera hard-transitions automatically. Based on the result the user can obtain a fast overview on the video content by browsing extracted key-frames from each video scene. Furthermore, with the corresponding time information the user can directly navigate to the expected video content. Demo link: https://www.semamediadata.com/demo/video-sbd/