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06 GOLEO VI Federation Internationale de Football Association (FIFA)
06 GOLEO VI Federation Internationale de Football Association (FIFA)
GOLEO VI Federation Internationale de Football Association (FIFA)
Technical Examples
  1. Provided are a face recognition apparatus and method in which a facial image is divided into facial component images. The apparatus includes a component division unit that divides an input facial image into a plurality of facial component images; a face descriptor generating unit that generates face descriptors using a transform matrix corresponding to the respective facial component images, the face descriptors being characteristic vectors; a registered face descriptor database (DB) that stores registered face descriptors; and an authentication unit that authenticates the input facial image by comparing face descriptors for the input facial image input from the face descriptor generating unit with the registered face descriptors and providing predetermined weights corresponding to each facial component to the comparison results of each facial component.
  2. A face model having outer and inner facial features is matched to that of first and second models. Each facial feature of the first and second models is represented by plurality of points that are adjusted for each matching outer and inner facial feature of the first and second models using 1) the corresponding epipolar constraint for the inner features of the first and second models. 2) Local grey-level structure of both outer and inner features of the first and second models. The matching and the adjusting are repeated, for each of the first and second models, until the points for each of the outer and inner facial features on the respective first and second models that are found to match that of the face model have a relative offset there between of not greater than a predetermined convergence tolerance. The inner facial features can include a pair of eyes, a nose and a mouth. The outer facial features can include a pair of eyebrows and a silhouette of the jaw, chin, and cheeks.
  3. A paper shredder paper feed mechanism, characterized in having a paper insert opening structured from two movable paper feed tubes, which are configured above paper shredding cutters. Two ends of each of the paper feed tubes are respectively positioned in W-shaped embed grooves of positioning plates of a frame. The two paper feed tubes are ordinarily closed together, thereby enhancing safety and preventing dust and miscellaneous objects from falling into the paper shredder. When paper is inserted into the paper insert opening, the thickness of the paper opens the two paper feed tubes, thereby guiding the paper smoothly guided into the paper shredding cutters.
  4. A system and method for capturing motion comprises a motion capture volume adapted to contain at least one actor having body markers defining plural body points and facial markers defining plural facial points. A plurality of body motion cameras and a plurality of facial motion cameras are arranged around a periphery of the motion capture volume. The facial motion cameras each have a respective field of view narrower than a corresponding field of view of the body motion cameras. The facial motion cameras are arranged such that all laterally exposed surfaces of the actor while in motion within the motion capture volume are within the field of view of at least one of the plurality of facial motion cameras at substantially all times. A motion capture processor is coupled to the plurality of facial motion cameras and the plurality of body motion cameras to produce a digital model reflecting combined body and facial motion of the actor. At least one microphone may be oriented to pick up audio from the motion capture volume.
  5. A system and method for effectively extracting facial feature information from image data may include a facial feature detector configured to generate facial feature information. The facial feature detector may perform an eye-area vertical projection procedure for generating eye information and eyebrow information. The facial feature detector may utilize an eyebrow filter to detect eyebrow location coordinates and eyebrow slope characteristics. Similarly, the facial feature detector may utilize an iris filter to detect iris location coordinates. The facial feature detector may also perform a mouth-area vertical projection procedure for generating corresponding nose/nostril location information and mouth/lip location information.

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